System and method for control and training of avatars in an interactive environment
A system operative to execute and train at least one avatar for each user of an interactive environment comprising a knowledge engine operative to continuously monitor each user's response to events in the interactive environment while each user controls the at least one avatar, a knowledge base operative to store each of the monitored user responses to events in the interactive environment and an action engine operative to control one or more actions of the at least one avatar for each user in the interactive environment based on the stored monitored responses regardless of each user's control of the at least one avatar.
The present disclosure relates generally to information processing, and in particular but not exclusively, relates to a system and method for control, training and autonomous execution of one or more avatars in an interactive environment.
BACKGROUNDIn recent years, the development of new and powerful computing platforms has enabled more powerful computer simulations and computer games to be developed which enable users to engage a wide variety of simulated activities. These computing platforms have also begun to incorporate various forms of artificial intelligence that can enhance a user's experience in an interactive computer environment. Among the range of applications provided by advanced computing platforms are those that include the use of one or more automated personas and intelligent agents. These personas or agents have come to be referred to in certain instances as “avatars” because they may be portrayed in interactive environments with various human-like features.
Research directed to the control and autonomous of operation of intelligent agents in an interactive environment has produced mixed results. A significant degree of research work has been performed to thoroughly understand the mechanics of human motion that can be rendered in a computer generated environment, but such research has provided little assistance in defining the features, methods or techniques to be used to enable these intelligent persona to effectively operate autonomously within an interactive environment regardless of a human user's direct control of the personas. Indeed, research into the most pioneering forms of artificial reasoning is still very much in a nascent stage and little is understood about how to effectively capture, analyze, build associative networks based on a user's past and present behaviors, and apply stored knowledge that is organized in the form of content and related meta-data associative networks to enable the rapid organization, searching and application of such knowledge to the real-time autonomous operation of intelligent personas in an interactive environment.
Thus, there is a current and pressing need for systems and methods that can provide continuous monitoring of events, actively monitor user responses to those events, and apply controlled actions to intelligent persona in a variety of interactive environments regardless of a user's direct involvement in controlling such persona in these environments.
Non-limiting and non-exhaustive embodiments are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified.
In the description to follow, various aspects of embodiments will be described, and specific configurations will be set forth. These embodiments, however, may be practiced with only some or all aspects, and/or without some or these specific details. In other instances, well-known features are omitted or simplified in order not to obscure important aspects of the embodiments.
Various operations will be described as multiple discrete steps in turn, in a manner that is most helpful in understanding each disclosed embodiment; however, the order of description should not be construed as to imply that these operations are necessarily order dependent. In particular, these operations need not be performed in the order of presentation.
The description repeatedly uses the phrases “in one embodiment”, which ordinarily does not refer to the same embodiment, although it may. The terms “comprising”, “including”, “having”, and the like, as used in the present disclosure are synonymous.
In a stand-alone embodiment such as the one depicted in
A particularly important aspect of the software-implemented system is that the action engine may be implemented as an artificial intelligence engine relying upon one or more expert systems, neural networks or other forms of computational intelligence. However, such artificial intelligence engines are necessarily directed by the issuance of requests by the knowledge engine 220. Knowledge engine 220 is integrated with and actively searches the repository of stored associations between events and user responses to determine what actions should be implemented by an avatar when operating in an autonomous operational mode in the interactive environment 224. Requests are issued by the knowledge engine 220 to ensure that the action execution component 306 in the action engine 222 implements actions based on requests which are ultimately based upon previously determined patterns of user responses to events in the interactive environment 224. In this manner, the autonomous actions of one or more of a user's avatars in the interactive environment 224 will most accurately mimic the user's responses with the user is not actively controlling the one or more avatars in the interactive environment 224.
The following is a representative listing of metrics that can be applied by categorization component 410 to the monitored user responses. This list is not exhaustive and is provided herein solely for the purpose of illustrating a representative sample of metrics for application by a knowledge engine in the various embodiments discussed herein. In alternative embodiments, subsets of the listed metrics may be used for user response categorizations, while in other embodiments different or additional metrics may be applied.
Interactive environment 224 is a computer-generated environment for use in executing computer simulations or computer video games in which various computer-generated events, or events created by other users active in the interactive environment 224, may occur. These events may trigger or require responses from one or more of a user's avatars when these avatars are operating in an autonomous mode, an assisted duality mode or a competitive duality mode. Avatars can be controlled by users of the client devices 104a-104d or can be executing autonomously or independently of the log-in status of a registered user.
Avatar mode management component 406 regulates the control of the avatars based on the operational mode of the interactive environment 224. Each registered user can have one or more avatars for execution in the interactive environment 224; however, the operation of these avatars can vary depending on the operational mode of the interactive environment 224. When a user is not actively logged into the interactive environment 224, the registered user's avatar(s) will still be capable of operating in the interactive environment 224 and responding to events monitored by event monitoring component 402 in an autonomous mode. In a real user mode, each avatar is directly controlled by a registered user whose responses to events in the interactive environment 224 will be monitored by response monitoring component 404. User responses are the basis of actions performed by avatars in an autonomous mode. A stored profile or history of user response included in knowledge base 218 are evaluated by knowledge engine 220 when requests are generated and issued to action engine 222 to have specific actions implemented and executed by avatars under the control of the action engine 222.
Pattern analysis component 408 applies pattern analysis techniques based in part on methods that determine the frequency of occurrence of certain user responses to monitored events. These techniques also apply certain statistical relevance ranking and correlations between and among user responses to determine patterns in user responses to monitored events. Pattern analysis component 408 forms associations between monitored events and one or more user responses to the monitored event. These associations are determined in real-time and are updated in a dynamic manner based on information compiled by response monitoring component 404.
After association of user responses to events, the user responses will be categorized according to one or more metrics by categorization component 410. Among the specific metrics used for categorizing user responses are performance metrics, decision metrics and emotion metrics. Emotion metrics are based in part on the performance metrics and the decision metrics. Among the various types of performance metrics are timing measures for each user response monitored by response monitoring component 404 each of which is based on one or more events monitored by event monitoring component 402.
Categorization component 410 evaluates user responses and categories them according to applicable metrics. For instance, in a competitive boxing video game, knowledge engine 220 will actively monitor the action taken by a user in response to an event (e.g., a jab from a competing avatar to the face) and continuously analyze the user's response to similar events in the interactive environment 224. The collective set of user responses to different monitored events will be correlated and categorized according to statistical techniques in order to identify the timing of responses to specific events, the types of responses to specific events and the frequency with which similar responses occur in the presence the same or similar events in the interactive environment 224. These categorized responses provide an independently searchable dataset for the knowledge engine 220 in addition to the searchable associations among events and responses. Furthermore, the nature of a user response to an event will be evaluated by categorization component 410 to deduce an emotion metric associated with each response. Thus, component 410 will also enable the knowledge engine 220 to issue requests to action engine 222 that will enable the actions of an avatar operating in an autonomous mode to mimic the emotional character of a registered user's response to certain monitored events. The timing performance of user responses are categorized by categorization component 410 as “performance metrics,” while the type of response to specific events is categorized by component 410 as a “decision metric.”
Knowledge base controller 412 controls the reading and writing of “associations” represented as diverse forms of abstract data types and related operators. These associations are stored and retrieved based on the associations created by pattern analysis components 408. Action engine controller 414 controls the transmission of requests to action engine 222 to enable explicit actions of an avatar to be implemented by the action engine 222 based on specific monitored user responses, as monitored by response monitoring component 404, or actions requested by pattern analysis component 408 and categorization component 410 when one or more avatars in the interactive environment 224 are operating in an autonomous mode, or when a user is not actively logged-in, or taking action in response to events occurring in the interactive environment 224.
In the embodiment depicted in
The metrics applied in this system represent various timing measures related to user responses (i.e., performance metrics) and various outcomes of certain user responses to monitored events in interactive environment 622 (i.e., decision metrics). In addition to performance metrics and decision metrics into which various user responses may be categorized, the user responses can also be categorized according to an emotion metric. An emotion metric is based on one or more performance metrics and decision metrics and is a composite metric that is determined by server knowledge engine 618 and associated with the responses to related events. These associations are used in an autonomous mode to control the actions of one or more avatars associated with the registered user to enable the actions of the avatar to be performed in a manner consistent with past user responses of the user. In essence, server knowledge engine 618 enables the active, ongoing and continuous profiling of user responses, and the association and categorization of those responses for the purpose of determining and applying actions using an avatar in an autonomous operating mode that are consistent with the responses and related emotions associated with those responses that were displayed by a user when that user was logged-in and responding to events in the interactive environment 622.
Alternatively, if the user has logged off, as shown in step 912, then the user's avatars will enter into the protected wait state in the interactive environment, as shown in step 916. If the time in which a user takes an action has not exceeded the wait time, as shown at step 914, then the user responses will continue to be actively monitored and compared to the record of stored responses in the knowledge base, as shown at step 906. This comparative real-time analysis of newly monitored responses with previously stored monitored responses continues while the interactive environment is active in order to continually identify, associate and categorize new and different responses to events in this environment, which analysis is shown at step 908. The updating of a knowledge base with associations of new user responses to events in the interactive environment is shown in step 910. If the user logs off, the protected wait state will be entered (step 916) and the process will end, shown at step 918.
Referring back to step 1008, an action alert can be issued by one or more of a registered users avatars in the form of electronic mail messages or telephone calls from each of the user's avatars in which a speech synthesized voice of an avatar describes the events in the interactive environment to the user. The electronic mail message, also referred to as an “Emergency Action Message,” can include a request for specific user input to enable the avatar to take action in the interactive environment in response to an imminent event or threat.
If a user responds to an action alert received on a telephone call with a command, the avatar will attempt to execute the command, as shown at step 1102 in
In the alternative, if an independent user response is not required, then the user and the user's one or more avatars would respond to events in an interactive environment in an assisted duality mode (1108) in the interactive environment. The competitive duality mode is an operating mode in which user responses in an interactive environment actively compete against one or more actions of a user's avatars in the environment. In this case, both the avatars and the user will respond to monitored events in the interactive environment and to each other's actions in that environment. In the assisted duality mode, the user and the user's avatars operate in a collaborative fashion and the user's actions will supplement the independent actions of the user's avatars while those avatars respond to monitored events in an interactive environment.
Returning to
Competition among the avatars of registered users who accepted the requests will commence, as shown at step 1208, and these avatars will take actions in response to events in an autonomous operational mode. The competitions involve multiple interactive scenarios requiring competitive interaction by one or more of each registered users' avatars against other competing avatars in an interactive environment. The performance of the avatars in the interactive scenarios will be evaluated and used to determine a competitive ranking, as shown at step 1210. The actions of the avatars in these autonomous mode interactive competitions are based in significant part on the associations between events and user responses stored in a knowledge base, and the categorization of these user responses according to selected metrics. A knowledge engine categorizes the user responses while the user actively controls and executes responses to events in the interactive environment. The categorization of user responses is based on specific performance metrics, decision metrics and emotion metrics. These metrics affect how avatars will apply actions in the interactive environment based while operating in the autonomous competition mode. More specifically, the actions applied by avatars in the autonomous competition mode are based on pattern analyses that are applied to user responses by the knowledge engine when those responses are initially made to monitored events in the interactive environment, as shown at step 1212. The knowledge engine operating in conjunction with an action engine will have exclusive control over the actions of avatars in this competition mode. Registered users can have active avatars perform actions in the autonomous mode or the autonomous competition mode for an indefinite time period. In an embodiment, the indefinite period can extend beyond the lifespan of a registered user. A performance ranking of the actions of the avatars will be compiled, as shown at step 1214, and a determination is made to determine which avatar scored the highest in an autonomous and fully hosted competition in the interactive environment. After compiling performance rankings for the avatars in the autonomous competition mode, the process ends, as shown in step 1216.
In searching these associations for user responses to monitored events, as shown at step 1310, one or more pattern analysis techniques will be applied to determine the most likely user response in the competitive operational mode. As indicated above, in the competitive duality mode a user is active in an interactive environment but is pitted against one or more of its registered avatars who take action in response to the actions of the human user as well as automated events in the interactive environment, as shown at step 1312. A knowledge engine will actively search a knowledge base of stored user responses and issue requests based on the associations formed between monitored events and prior user responses for the purpose of controlling the actions of avatars in the interactive environment while continuously monitoring events in the environment.
The actions of the avatars are based on requests made by a knowledge engine to an action engine and these requests are based on real-time searching and identification of associations of user responses and prior monitored events. These associations enable the knowledge engine to readily determine what actions are necessary in response to monitored events. The applicable action is determined from statistical relevance measures, a frequency of occurrence measure or other applicable statistical measures that are applied to determine in real-time the most likely response a user would take in response to a monitored event. These responses would be applied by controlled actions regulated by the action engine for the purpose of directing one or more avatars in the interactive environment in a competitive operational mode, as shown in step 1314. After controlling avatar action based on the most likely user response, this process ends as shown at step 1316.
In the assisted duality operational mode, a user's avatar will monitor the actions of the user while that user actively controls the avatars in the interactive environment. In monitoring the user's actions to events in the interactive environment, a knowledge engine will continuously measure those actions, build associations between the user's actions to monitored events in the interactive environment, and categorize the actions according to performance metrics, decision metrics, and at least one emotion metric. In this context, the “actions” of a user are the “responses” made by the user to events occurring in the interactive environment. After the knowledge engine determines the most likely user response to be applied by an avatar in the assisted duality mode, an action engine will cause the avatar to execute an action, which action will based on the most likely user response to the monitored event in the interactive environment, as shown in step 1414. After application of an action based on the most likely response, the process ends, as shown at step 1416.
Although specific embodiments have been illustrated and described herein, it will be appreciated by those of ordinary skill in the art that a wide variety of alternate and/or equivalent implementations may be substituted for the specific embodiments shown and described without departing from the scope of the present invention. This application is intended to cover any adaptations or variations of the embodiments discussed herein.
Claims
1. A system operative to execute and train at least one avatar in an interactive environment for each of one or more users, the system comprising:
- a plurality of client devices coupled to a network, each client device including at least a first knowledge engine operative to continuously monitor each user's response to a plurality of events in the interactive environment, the first knowledge engine including an event monitoring component, a response monitoring component and an operational mode management component; and
- at least one server device coupled to the network including a memory, a knowledge base and a second knowledge engine, the second knowledge engine including a pattern analysis and recognition component, a categorization component and a knowledge base interface controller, the at least one server device operative to receive the monitored user responses from the first knowledge engine and to cause the at least one avatar to execute one or more actions in the interactive environment based on pattern analysis of the monitored user responses.
2. The system of claim 1 wherein each of the plurality of client devices further includes an action engine, the action engine operative to control the execution of the one or more actions of the at least one avatar in the interactive environment based on the monitored user responses.
3. The system of claim 1 wherein the at least one server device further includes an action engine, the action engine control operative to control the execution of the one or more actions of the at least one avatar in the interactive environment based on the monitored user responses.
4. The system of claim 1 wherein the interactive environment is a computer-generated simulation environment.
5. The system of claim 1 wherein the interactive environment is a computer-generated game environment.
6. The system of claim 1 wherein the event monitoring component is operative to continuously monitor events in the interactive environment and to report the monitored events to the second knowledge engine, the response monitoring component is operative to continuously monitor each user's responses to the plurality of events in the interactive environment and to report each monitored user response to the second knowledge engine, and the operational mode management component is operative to determine the actions of the at least one avatar in an operational mode in the interactive environment, the operational mode being one of a real user mode, an assisted duality mode, a competitive duality mode and an autonomous operational mode.
7. The system of claim 1 wherein the second knowledge engine further includes an action engine interface controller, the knowledge base interface controller operative to communicate between the pattern analysis and recognition component and the categorization component, the action engine interface controller operative to communicate requests for control actions to an action engine.
8. The system of claim 7 wherein the pattern analysis and recognition component is operative to determine an association between each of the plurality of events in the interactive environment and each user's response.
9. The system of claim 7 wherein the categorization component is operative to categorize each user's response as a decision metric and a timing measure of each user's response as a performance metric.
10. The system of claim 7 wherein the knowledge base is operative to store in the memory one or more associations between each user response and each of the plurality of events in the interactive environment.
11. The system of claim 8 wherein the association is based on at least one of a frequency of occurrence measure and a statistical relevance measure.
12. The system of claim 10 wherein the second knowledge engine is operative to search the one or more associations stored in the memory and to determine at least one decision metric and at least one performance metric to be applied by the at least one avatar in response to one or more events in the interactive environment.
13. The system of claim 2 wherein the action engine is operative to control the execution of the one or more actions of the at least one avatar in response to one or more requests from the second knowledge engine in at least one of an autonomous mode and a competitive duality mode of the interactive environment, each request of the second knowledge engine based on:
- one or more associations between each user response and each of the plurality of events in the interactive environment, and
- a categorization of each user response according to a decision metric and a timing measure of each user response according to a performance metric.
14. The system of claim 3 wherein the action engine is operative to control the execution of the one or more actions of the at least one avatar in response to one or more requests from the second knowledge engine in at least one of an autonomous mode and a competitive duality mode of the interactive environment, each request of the second knowledge engine based on:
- one or more associations between each user response and each of the plurality of events in the interactive environment, and
- a categorization of each user response according to a decision metric and a timing measure of each user response according to a performance metric.
15. The system of claim 6 wherein the real user mode comprises each user having exclusive control over the execution of the one or more actions of the at least one avatar in the interactive environment.
16. The system of claim 6 wherein the assisted duality mode comprises each user having shared control with the second knowledge engine and the action engine for supplemented execution of the one or more actions of the at least one avatar in the interactive environment.
17. The system of claim 6 wherein the competitive duality mode comprises each user having control over the execution of the one or more actions of a first avatar of the at least one avatar in the interactive environment and the second knowledge engine and the an action engine having control over the execution of the one or more actions of a second avatar of the at least one avatar in the interactive environment, the first avatar and the second avatar having competitive roles in the interactive environment.
18. The system of claim 6 wherein the competitive duality mode comprises each user having control over the execution of the one or more actions of a first plurality of the at least one avatar in the interactive environment and the second knowledge engine and the an action engine having control over the execution of the one or more actions of a second plurality of the at least one avatar in the interactive environment, each plurality comprising a collaborative team having competitive roles in the interactive environment.
19. The system of claim 6 wherein the autonomous operational mode comprises the second knowledge engine and the an action engine having exclusive control over the execution of the one or more actions of the at least one avatar in the interactive environment.
20. The system of claim 19 wherein the autonomous operational mode further comprises a tournament mode in which the second knowledge engine and the action engine have exclusive control over the execution of the one or more actions of each of the at least one avatar for each of the one or more users, each of the at least one avatar for each of the one or more users having competitive roles in the interactive environment.
21. The system of claim 19 wherein the autonomous operational mode further comprises a tournament mode in which the second knowledge engine and the action engine have exclusive control over the execution of the one or more actions of each of the at least one avatar for each of the one or more users, each of the at least one avatar having at least one of a collaborative role and a competitive role in the interactive environment.
22. The system of claim 20 wherein the at least one avatar is operative to communicate to each user.
23. The system of claim 22 wherein the at least one avatar is operative to communicate to each user using at least one of an electronic mail emergency action message and a voice message based on synthetic speech generation.
24. The system of claim 2 wherein the action engine comprises:
- a knowledge engine interface operative to receive requests from the second knowledge engine to control the one or more actions of the at least one avatar in the interactive environment,
- a rules database component operative to maintain a database of rules for execution control of the one or more actions of the at least one avatar, and
- an action execution component operative to execute requests received from the knowledge engine interface to control the one or more actions of the at least one avatar in the interactive environment based on the database of rules for execution control maintained by the rules database component when the a user does not have exclusive control of the at least one avatar.
25. The system of claim 24 wherein the action engine further comprises a subscriber registration component and an avatar activation component, the subscriber registration component operative to receive registration information from each user and to designate each user having registration information in a subscriber database as a registered user, the avatar activation component operative to activate at least one avatar for each registered user, the action execution component operative to execute received requests from the second knowledge engine to control the one or more actions of the at least one avatar only for each registered user based on the rules for execution control maintained by the rules database component.
26. The system of claim 3 wherein the action engine comprises:
- a knowledge engine interface operative to receive requests from the second knowledge engine to control the one or more actions of the at least one avatar in the interactive environment,
- a rules database component operative to maintain a database of rules for execution control of the one or more actions of the at least one avatar, and
- an action execution component operative to execute requests received from the knowledge engine interface to control the one or more actions of the at least one avatar in the interactive environment based on the database of rules for execution control maintained by the rules database component when the a user does not have exclusive control of the at least one avatar.
27. The system of claim 26 wherein the action engine further comprises a subscriber registration component and an avatar activation component, the subscriber registration component operative to receive registration information from each user and to designate each user having registration information in a subscriber database as a registered user, the avatar activation component operative to activate at least one avatar for each registered user, the action execution component operative to execute received requests from the second knowledge engine to control the one or more actions of the at least one avatar only for each registered user based on the rules for execution control maintained by the rules database component.
28. A system operative to execute and train at least one avatar for each user of an interactive environment, the system comprising:
- at least one computing device operative to implement:
- a knowledge engine operative to continuously monitor each user's response to events in the interactive environment while each user controls the at least one avatar;
- a knowledge base operative to store each of the monitored user responses to the events in the interactive environment; and
- an action engine operative to control one or more actions of the at least one avatar for each user in the interactive environment regardless of each user's control of the at least one avatar, the one or more actions based on pattern analysis of the stored monitored user responses.
29. The system of claim 28 wherein the interactive environment is a computer-generated simulation environment.
30. The system of claim 29 wherein the interactive environment is a computer-generated game environment.
31. The system of claim 28 wherein the knowledge engine comprises an event monitoring component, a response monitoring component, an operational mode management component, the event monitoring component operative to continuously monitor events in the interactive environment, the response monitoring component operative to continuously monitor each user's responses to the events monitored by the event monitoring component, the operational mode management component operative to determine the one or more actions of the at least one avatar in an operational mode of the interactive environment comprising at least one of a real user mode, an assisted duality mode, a competitive duality mode and an autonomous operational mode.
32. The system of claim 31 wherein the knowledge engine further comprises a pattern analysis and recognition component, a categorization component, a knowledge base interface controller and an action engine interface controller, the pattern analysis and recognition component operative to determine an association between each of the monitored events in the interactive environment and each user's response, the categorization component operative to categorize each user's response as a decision metric and a timing measure of each user's response as a performance metric, the knowledge base further operative to store in a memory one or more associations between each user's response and each of the events in the interactive environment, the knowledge base interface controller operative to communicate each association between the monitored events and each user's response, the action engine interface controller operative to communicate requests for the one or more actions of the at least one avatar.
33. The system of claim 32 wherein the association is based on at least one of a frequency of occurrence measure and a statistical relevance measure.
34. The system of claim 32 wherein the knowledge engine is operative to search the one or more associations stored in the memory and to determine at least one decision metric and at least one performance metric to be applied by the at least one avatar in response to one or more events in the interactive environment.
35. The system of claim 28 wherein the action engine is operative to control the execution of the one or more actions of the at least one avatar in response to one or more requests from the knowledge engine in at least one of an autonomous mode and a competitive duality mode of the interactive environment, each request of the knowledge engine based on:
- one or more associations between each user response and each of the a plurality of events in the interactive environment, and
- a categorization of each user response according to a decision metric and a timing measure of each user response according to a performance metric.
36. The system of claim 31 wherein the real user mode comprises each user having exclusive control over the execution of the one or more actions of the at least one avatar in the interactive environment.
37. The system of claim 31 wherein the assisted duality mode comprises each user having shared control with the knowledge engine and the action engine for supplemented execution of the one or more actions of the at least one avatar in the interactive environment.
38. The system of claim 31 wherein the competitive duality mode comprises each user having control over the execution of the one or more actions of a first avatar of the at least one avatar in the interactive environment and the knowledge engine and the action engine having control over the execution of the one or more actions of a second avatar of the at least one avatar in the interactive environment, the first avatar and the second avatar having competitive roles in the interactive environment.
39. The system of claim 31 wherein the competitive duality mode comprises each user having control over the execution of the one or more actions of a first plurality of the at least one avatar in the interactive environment and the a second knowledge engine and the action engine having control over the execution of the one or more actions of a second plurality of the at least one avatar in the interactive environment, each plurality comprising a collaborative team having competitive roles in the interactive environment,
40. The system of claim 31 wherein the autonomous operational mode comprises the knowledge engine and the action engine having exclusive control over the execution of the one or more actions of the at least one avatar in the interactive environment.
41. The system of claim 40 wherein the autonomous operational mode further comprises a tournament mode in which the knowledge engine and the action engine have exclusive control over the execution of the one or more actions of each of the at least one avatar for each of the one or more users, each of the at least one avatar for each of the one or more users having competitive roles in the interactive environment.
42. The system of claim 40 wherein the autonomous operational mode further comprises a tournament mode in which the a second knowledge engine and the action engine have exclusive control over the execution of the one or more actions of each of the at least one avatar for each of the one or more users, each of the at least one avatar having at least one of a collaborative role and a competitive role in the interactive environment.
43. The system of claim 40 wherein the at least one avatar is operative to communicate to each user.
44. The system of claim 43 wherein the at least one avatar is operative to communicate to each user using at least one of an electronic mail emergency action message and a voice message based on synthetic speech generation.
45. The system of claim 28 wherein the action engine comprises:
- a knowledge engine interface operative to receive requests from the knowledge engine to control the one or more actions of the at least one avatar in the interactive environment,
- a rules database component operative to maintain a database of rules for execution control of the one or more actions of the at least one avatar, and
- an action execution component operative to execute requests received from the knowledge engine interface to control the one or more actions of the at least one avatar in the interactive environment based on the database of rules for execution control maintained by the rules database component when the a user does not have exclusive control of the at least one avatar.
46. The system of claim 43 wherein the action engine further comprises a subscriber registration component and an avatar activation component, the subscriber registration component operative to receive registration information from each user and to designate each user having registration information in a subscriber database as a registered user, the avatar activation component operative to activate at least one avatar for each registered user, the an action execution component operative to execute received requests from the knowledge engine to control the one or more actions of the at least one avatar only for each registered user based on the rules for execution control maintained by the a rules database component.
47. A method operative to monitor and evaluate the responses of a user in an interactive environment, the user controlling at least one avatar in the interactive environment, the method comprising:
- monitoring events in the interactive environment using a knowledge engine;
- monitoring each user's response to the monitored events in the interactive environment using the knowledge engine while each user controls the at least one avatar; and
- evaluating each of the monitored user responses using pattern analysis techniques to determine an association between one or more of the monitored user responses and each monitored event in the interactive environment, the knowledge engine operative to apply the one or more pattern analysis techniques to the monitored user responses and each monitored event; and
- storing the determined association for each of the evaluated user responses.
48. The method of claim 47 wherein the interactive environment is a computer-generated simulation environment.
49. The method of claim 47 wherein the interactive environment is a computer-generated game environment.
50. The method of claim 47 further comprising categorizing each user response according to at least one decision metric, at least one performance metric and at least one emotion metric.
51. The method of claim 47 wherein the association is based on at least one of a frequency of occurrence measure and a statistical relevance measure.
52. The method of claim 47 wherein the knowledge engine comprises a first engine component and a second engine component, the first engine component included on a server device for evaluating the monitored user responses, determining the association and storing the determined association, and the second engine component included on a client device for monitoring the events in the interactive environment and for monitoring each user's response to the monitored events.
53. The method of claim 47 wherein the knowledge engine is operative to search one or more of the stored associations and to determine for each stored association at least one decision metric, at least one performance metric and at least one emotion metric.
54. The method of claim 53 wherein the at least one performance metric is a timing measure of each user response.
55. The method of claim 47 wherein the knowledge engine comprises an event monitoring component and a response monitoring component, the event monitoring component operative for the monitoring of the events in the interactive environment, the response monitoring component operative for the monitoring of each user's response to the monitored events in the interactive environment while each user controls the at least one avatar.
56. The method of claim 55 wherein the knowledge engine further comprises a pattern analysis and recognition component and a categorization component, the pattern analysis and recognition component operative for determining the association between the one or more of the monitored user responses and each monitored event in the interactive environment, the categorization component operative to categorize each of the monitored user responses based at least one of a decision metric, a performance metric and an emotion metric, the performance metric comprising a timing measure of each of the monitored user responses.
57. The method of claim 53 wherein the at least one emotion metric is determined in part from the at least one performance metric and the at least one decision metric.
58. A method operative to control at least one avatar for each user of an interactive environment, the method comprising:
- continuously monitoring events in the interactive environment using a knowledge engine;
- evaluating a plurality of stored associations using the knowledge engine, each association representing one or more user responses to a monitored event in the interactive environment, the knowledge engine operative to apply one or more pattern analysis techniques to the one or more user responses to the monitored event;
- controlling one or more actions of the at least one avatar for each user of the interactive environment in response to one or more continuously monitored events, the controlling of the one or more actions performed using an action engine, the one or more controlled actions based on the plurality of evaluated stored associations; and
- displaying on at least one output device the one or more controlled actions of the at least one avatar.
59. The method of claim 58 wherein the interactive environment is a computer-generated simulation environment.
60. The method of claim 58 wherein the interactive environment is a computer-generated game environment.
61. The method of claim 58 further comprising categorizing the one or more user responses according to at least one of a decision metric, a performance metric and an emotion metric, the emotion metric based in part on the decision metric and the performance metric.
62. The method of claim 58 wherein the plurality of stored associations are stored in a knowledge base.
63. The method of claim 58 wherein the knowledge engine comprises an event monitoring component, a response monitoring component and an operational mode management component, the event monitoring component operative for performing the continuous monitoring of the events in the interactive environment, the response monitoring component operative to monitor the one or more user responses to a monitored event, the operational mode management component operative to determine the one or more controlled actions of the at least one avatar in an operational mode of the interactive environment comprising at least one of a real user mode, an assisted duality mode, a competitive duality mode and an autonomous operational mode.
64. The method of claim 63 wherein the knowledge engine further comprises a pattern analysis and recognition component, a categorization component, a knowledge base interface controller and an action engine interface controller, the pattern analysis and recognition component operative to determine the plurality of stored associations, the categorization component operative to categorize each user's response according to a decision metric, a performance metric and an emotion metric, the knowledge base interface controller operative to communicate the plurality of stored associations, the action engine interface controller operative to communicate requests for the controlled one or more controlled actions of the at least one avatar.
65. The method of claim 58 wherein the controlling of the one or more actions of the at least one avatar is performed regardless of each user's control of the at least one avatar using the action engine in at least one of an autonomous mode, an assisted duality mode and a competitive duality mode of the interactive environment.
66. The method of claim 65 wherein the controlling of the one or more actions is based on one or more requests from the knowledge engine, each request of the knowledge engine based on the plurality of stored associations and a categorization of the one or more user responses according to at least one of a decision metric, a performance metric and an emotion metric, the emotion metric based in part on the decision metric and the performance metric.
67. The method of claim 65 wherein the assisted duality mode comprises each user having shared control with the knowledge engine and the action engine for supplemented execution of the one or more actions of the at least one avatar in the interactive environment.
68. The method of claim 65 wherein the competitive duality mode comprises each user having control over the execution of the one or more actions of a first avatar of the at least one avatar in the interactive environment and the knowledge engine and the action engine having control over the execution of the one or more actions of a second avatar of the at least one avatar in the interactive environment, the first avatar and the second avatar having competitive roles in the interactive environment.
69. The method of claim 65 wherein the competitive duality mode comprises each user having control over the execution of the one or more actions of a first plurality of the at least one avatar in the interactive environment and the a second knowledge engine and the action engine having control over the execution of the one or more actions of a second plurality of the at least one avatar in the interactive environment, each plurality comprising a collaborative team having competitive roles in the interactive environment.
70. The method of claim 65 wherein the autonomous operational mode comprises the knowledge engine and the action engine having exclusive control over the execution of the one or more actions of the at least one avatar in the interactive environment.
71. The method of claim 70 wherein the autonomous operational mode further comprises a tournament mode in which the knowledge engine and the action engine have exclusive control over the execution of the one or more actions of each of the at least one avatar for each of the one or more users, each of the at least one avatar for each of the one or more users having competitive roles in the interactive environment.
72. The method of claim 70 wherein the autonomous operational mode further comprises a tournament mode in which the a second knowledge engine and the action engine have exclusive control over the execution of the one or more actions of each of the at least one avatar for each of the one or more users, each of the at least one avatar having at least one of a collaborative role and a competitive role in the interactive environment.
73. The method of claim 70 wherein the at least one avatar is operative to communicate to each user.
74. The method of claim 73 wherein the at least one avatar is operative to communicate to each user using at least one of an electronic mail emergency action message and a voice message based on synthetic speech generation.
75. The method of claim 66 wherein the action engine comprises:
- a knowledge engine interface operative to receive requests from the knowledge engine to control the one or more actions of the at least one avatar in the interactive environment,
- a rules database component operative to maintain a database of rules for the controlling of the one or more actions of the at least one avatar, and
- an action execution component operative to execute requests received from the knowledge engine interface for the controlling of the one or more actions of the at least one avatar in the interactive environment based on the database of rules when the a user does not have exclusive control of the at least one avatar.
76. The method of claim 75 wherein the action engine further comprises a subscriber registration component and an avatar activation component, the subscriber registration component operative to receive registration information from each user and to designate each user having registration information in a subscriber database as a registered user, the avatar activation component operative to activate at least one avatar for each registered user, the action execution component operative to execute received requests from the knowledge engine for the controlling of the one or more actions of the at least one avatar only for each registered user based on the database of rules maintained by the rules database component.
77. A non-transitory computer-readable medium having instructions stored thereon for performing a method comprising:
- continuously monitoring each user's response to monitored events in an interactive environment while each user controls at least one avatar, the monitoring of each user's response and the monitoring of the events performed using a knowledge engine;
- storing an association between one or more of the continuously monitored user responses and each of the monitored events in the interactive environment, the knowledge engine operative to apply one or more pattern analysis techniques to the monitored user responses and each of the monitored events;
- controlling one or more actions of the at least one avatar for each user in the interactive environment based on the stored association regardless of each user's control of the at least one avatar, the controlling of the one or more actions performed using an action engine; and
- displaying the one or more controlled actions of the at least one avatar for each user in the interactive environment.
78. The non-transitory computer-readable medium of claim 77 wherein the interactive environment is a computer-generated simulation environment.
79. The non-transitory computer-readable medium of claim 77 wherein the interactive environment is a computer-generated game environment.
80. The non-transitory computer-readable medium of claim 77 wherein the knowledge engine is operative to store the association in a knowledge base.
81. The non-transitory computer-readable medium of claim 77 wherein the controlling of the one or more actions is performed using the action engine when the an operational mode of the interactive environment is at least one of an assisted duality mode, a competitive duality mode and an autonomous mode.
82. The non-transitory computer-readable medium of claim 80 wherein the knowledge engine is further operative to search the knowledge base for one or more stored associations.
83. The non-transitory computer-readable medium of claim 77 wherein the action engine controls the one or more actions of the at least one avatar in response to at least one request from the knowledge engine.
84. The non-transitory computer-readable medium of claim 80 wherein the knowledge engine is further operative to categorize the continuously monitored user responses according to at least one of a decision metric, a performance metric and an emotion metric, the emotion metric based in part on the decision metric and the performance metric.
85. The non-transitory computer-readable medium of claim 81 wherein the assisted duality mode comprises each user having shared control of the one or more actions of the at least one avatar with a the knowledge engine and the action engine.
86. The non-transitory computer-readable medium of claim 81 wherein the competitive duality mode comprises each user controlling the one or more actions of a first avatar of the at least one avatar in the interactive environment and a the knowledge engine and the action engine controlling the one or more actions of a second avatar of the at least one avatar in the interactive environment, the first avatar and the second avatar having competitive roles in the interactive environment.
87. The non-transitory computer-readable medium of claim 81 wherein the competitive duality mode comprises each user controlling the one or more actions of a first plurality of the at least one avatar in the interactive environment and the a second knowledge engine and the action engine controlling the one or more actions of a second plurality of the at least one avatar in the interactive environment, each plurality comprising a collaborative team having competitive roles in the interactive environment.
88. The non-transitory computer-readable medium of claim 81 wherein the autonomous mode comprises a the knowledge engine and the action engine exclusively controlling the one or more actions of the at least one avatar in the interactive environment.
89. The non-transitory computer-readable medium of claim 88 wherein the autonomous mode further comprises a tournament mode in which the knowledge engine and the action engine exclusively control the one or more actions of each of the at least one avatar for each user, each of the at least one avatar for each user having competitive roles in the interactive environment.
90. The non-transitory computer-readable medium of claim 88 wherein the autonomous mode further comprises a tournament mode in which the second knowledge engine and the action engine have exclusive control over the execution of the one or more actions of each of the at least one avatar for each of the one or more users, each of the at least one avatar having at least one of a collaborative role and a competitive role in the interactive environment.
91. The non-transitory computer-readable medium of claim 88 wherein the at least one avatar is operative to communicate to each user.
92. The non-transitory computer-readable medium of claim 91 wherein the at least one avatar is operative to communicate to each user using at least one of an electronic mail emergency action message and a voice message based on synthetic speech generation.
93. The non-transitory computer-readable medium of claim 77 wherein the one or more controlled actions are displayed on at least one of a mobile device, a handheld device, a television, a portable computer and a desktop computer monitor.
94. The non-transitory computer-readable medium of claim 93 wherein the mobile device is at least one of a mobile telephone, a smart phone and a personal digital assistant.
95. The non-transitory computer-readable medium of claim 93 wherein the handheld device is a handheld computer gaming console.
96. The system of claim 8 wherein the pattern analysis and recognition component is further operative to apply one or more pattern analysis techniques to each of the continuously monitored user responses to the plurality of events in the interactive environment, and wherein the association is determined from the one or more applied pattern analysis techniques.
97. The system of claim 32 wherein the pattern analysis and recognition component is further operative to apply one or more pattern analysis techniques to each of the continuously monitored user responses to the plurality of events in the interactive environment, and wherein the association is determined from the one or more applied pattern analysis techniques.
98. A server, comprising:
- a memory device configured to store instructions corresponding to a server knowledge engine; and
- a processing device configured to execute the instructions stored in the memory device to: receive, from a client knowledge engine executing on a client, at least one response to at least one of a plurality of events occurring in an interactive environment; and cause at least one avatar to execute at least one action in the interactive environment based at least in part on pattern analysis of the at least one response received from the client knowledge engine;
- wherein the client knowledge engine comprises an event monitoring component configured to continuously monitor the interactive environment for a response to any of the plurality of events, a response monitoring component, and an operational mode management component; and
- wherein the server knowledge engine comprises a pattern analysis and recognition component, a categorization component, and a knowledge base interface controller.
99. The server of claim 98, wherein the interactive environment is a computer-generated simulation environment.
100. The server of claim 98, wherein the interactive environment is a computer-generated game environment.
101. The server of claim 98, wherein the server knowledge engine is further configured to store an association between the at least one response and the at least one of the plurality of events in a database.
102. The server of claim 101, wherein the server knowledge engine is further configured to store the association based at least in part on a frequency of occurrence measure or a statistical relevance measure corresponding to the at least one response.
103. The server of claim 98, wherein the pattern analysis and recognition component is configured to recognize at least one pattern in the at least one response.
104. The server of claim 98, wherein the categorization component is configured to categorize the at least one response based at least in part on a decision metric, a performance metric, or an emotion metric.
105. The server of claim 98, wherein the pattern analysis and recognition component is configured to recognize at least one pattern in the at least one response based at least in part on a search of associations between the at least one response to the at least one of the plurality of events stored in a knowledge base.
106. A method, comprising:
- receiving, from a client knowledge engine executing on a client device, at least one response to at least one of a plurality of events occurring in an interactive environment; and
- causing, using server knowledge engine executing on a server device, at least one avatar to execute at least one action in the interactive environment based at least in part on pattern analysis of the at least one response received from the client knowledge engine;
- wherein the client knowledge engine comprises an event monitoring component configured to continuously monitor the interactive environment for a response to any of the plurality of events, a response monitoring component, and an operational mode management component; and
- wherein the server knowledge engine comprises a pattern analysis and recognition component, a categorization component, and a knowledge base interface controller.
107. The method of claim 106, wherein the interactive environment is a computer-generated simulation environment.
108. The method of claim 106, wherein the interactive environment is a computer-generated game environment.
109. The method of claim 106, further comprising storing an association between the at least one response and the at least one of the plurality of events on a memory device.
110. The method of claim 109, further comprising storing the association based at least in part on a frequency of occurrence measure or a statistical relevance measure corresponding to the at least one response.
111. The method of claim 106, further comprising recognizing, using the server device, at least one pattern in the at least one response based at least in part on a decision metric, a performance metric, or an emotion metric.
112. The method of claim 106, further comprising recognizing, using the server device, at least one pattern in the at least one response based at least in part on a search of associations between the at least one response to the at least one of the plurality of events stored in a knowledge base.
113. A memory device having instructions stored thereon defining a server knowledge engine that, in response to execution by a processing device on a server device, cause the processing device to perform operations comprising:
- receiving, from a client knowledge engine executing on a client device, at least one response to at least one of a plurality of events occurring in an interactive environment; and
- causing at least one avatar to execute at least one action in the interactive environment based at least in part on pattern analysis of the at least one response received from the client knowledge engine;
- wherein the client knowledge engine comprises an event monitoring component configured to continuously monitor the interactive environment for a response to any of the plurality of events, a response monitoring component, and an operational mode management component; and
- wherein the server knowledge engine comprises a pattern analysis and recognition component, a categorization component, and a knowledge base interface controller.
114. The memory device of claim 113, wherein the interactive environment is a computer-generated simulation environment.
115. The memory device of claim 113, wherein the interactive environment is a computer-generated game environment.
116. The memory device of claim 113, wherein the operations further comprise storing an association between the at least one response and the at least one of the plurality of events in a database.
117. The memory device of claim 116, wherein the operations further comprise storing the association based at least in part on a frequency of occurrence measure or a statistical relevance measure corresponding to the at least one response.
118. The memory device of claim 113, wherein the operations further comprise recognizing at least one pattern in the at least one response based at least in part on a decision metric, a performance metric, or an emotion metric.
119. The memory device of claim 113, wherein the operations further comprise recognizing at least one pattern in the at least one response based at least in part on a search of associations between the at least one response to the at least one of the plurality of events stored in a knowledge base.
120. A client, comprising:
- a memory device configured to store instructions; and
- a processing device configured to execute the instructions stored in the memory device;
- wherein the instructions comprise: a knowledge engine operative to continuously monitor each user in an interactive environment for responses to at least one of a plurality of events occurring in the interactive environment and operative to store the responses to the at least one of the plurality of events in the interactive environment in a knowledge base; and an action engine operative to control at least one of a plurality of avatars in the interactive environment without regard to a corresponding user's control of the at least one of the plurality of avatars based at least in part on pattern analysis of the stored responses in the knowledge base.
121. The client of claim 120, wherein the knowledge engine further comprises:
- an event monitoring component operative to continuously monitor the plurality of events in the interactive environment;
- a response monitoring component operative to continuously monitor a plurality of responses to the plurality of events; and
- an operational mode management component operative to determine at least one action of the at least one of the plurality of avatars in an a real user mode, an assisted duality mode, a competitive duality mode, or an autonomous operational mode.
122. The client of claim 121, wherein the knowledge engine further comprises:
- a pattern analysis and recognition component operative to determine an association between each of the plurality of events in the interactive environment and the plurality of responses;
- a categorization component operative to categorize each of the plurality of responses based at least in part on a decision metric, a performance metric, or an emotion metric; and
- wherein the knowledge engine is operative to store in the knowledge base the association between each of the plurality of events in the interactive environment and the plurality of responses.
123. The client of claim 122, wherein the association is based at least in part on a frequency of occurrence measure, a statistical relevance measure, or a combination thereof.
124. The client of claim 120, wherein the knowledge engine is operative to search the memory device to determine at least one decision metric or at least one performance metric to be applied by the at least one of the plurality of avatars in response to the at least one of the plurality of events in the interactive environment.
125. The client of claim 120, wherein the action engine is operative to control the at least one of the plurality of avatars in response to a request from the knowledge engine in an autonomous mode or a competitive duality mode of the interactive environment.
126. The client of claim 120, wherein the at least one of the plurality of avatars is operative to communicate with at least another of the plurality of avatars.
127. The client of claim 126, wherein the at least one of the plurality of avatars is operative to communicate with the at least another of the plurality of avatars using an electronic mail emergency action message or a voice message based on synthetic speech generation.
128. The client of claim 120, wherein the action engine further comprises:
- a knowledge engine interface operative to receive requests to control the at least one of the plurality of avatars in the interactive environment;
- a rules database component operative to maintain a database of rules corresponding to the control; and
- an action execution component operative to execute the requests to the at least one of the plurality of avatars in the interactive environment based at least in part on the database of rules.
129. The client of claim 120, wherein the action engine further comprises:
- a subscriber registration component operative to receive registration information; and
- an avatar activation component operative to activate the at least one of the plurality of avatars based at least on the registration information.
130. A method, comprising:
- continuously monitoring, using a client computing device, each user in an interactive environment for responses to at least one of a plurality of events in the interactive environment;
- storing, in a knowledge base, the responses to the at least one of the plurality of events in the interactive environment; and
- controlling, using the client computing device, at least one of a plurality of avatars in the interactive environment without regard to a corresponding user's control of the at least one of the plurality of avatars based at least in part on receiving, from a server computing device, pattern analysis of the stored responses in the knowledge base.
131. The method of claim 130, further comprising:
- continuously monitoring, using the client computing device, the plurality of events in the interactive environment;
- continuously monitoring, using the client computing device, the responses to the plurality of events;
- storing the plurality of events monitored by the client computing device;
- storing the plurality of responses monitored by the client computing device; and
- determining at least one action of the at least one of the plurality of avatars in a real user mode, an assisted duality mode, a competitive duality mode, or an autonomous operational mode.
132. The method of claim 130, further comprising:
- determining an association between each of the plurality of events in the interactive environment and the plurality of responses;
- categorizing each of the responses based at least in part on a decision metric, a performance metric, or an emotion metric; and
- storing in the memory device the association between each of the plurality of events in the interactive environment and the responses.
133. The method of claim 132, wherein the association is based at least in part on a frequency of occurrence measure, a statistical relevance measure, or a combination thereof.
134. The method of claim 130, further comprising searching a memory device to determine at least one decision metric or at least one performance metric to be applied by the at least one of the plurality of avatars in response to the at least one of the plurality of events in the interactive environment.
135. The method of claim 130, further comprising controlling the at least one of the plurality of avatars in response to a request from the knowledge engine in an autonomous mode or a competitive duality mode of the interactive environment.
136. The method of claim 130, wherein the at least one of the plurality of avatars is operative to communicate with at least another of the plurality of avatars.
137. The method of claim 136, wherein the at least one of the plurality of avatars is operative to communicate with the at least another of the plurality of avatars using an electronic mail emergency action message or a voice message based on synthetic speech generation.
138. The method of claim 130, further comprising:
- receiving requests to control the at least one of the plurality of avatars in the interactive environment;
- maintaining a database of rules corresponding to the control; and
- executing the requests to control the at least one of the plurality of avatars in the interactive environment based at least in part on the database of rules.
139. The method of claim 130, further comprising:
- storing registration information in a registration database; and
- activating the at least one of the plurality of avatars based at least on the registration information.
140. A memory device having instructions stored thereon that, in response to execution by a processing device on a client device, cause the processing device to perform operations comprising:
- continuously monitoring each user in an interactive environment for responses to at least one of a plurality of events in the interactive environment;
- causing storage of the responses to the at least one of the plurality of events in the interactive environment; and
- controlling at least one of a plurality of avatars in the interactive environment without regard to a corresponding user's control of the at least one of the plurality of avatars based at least in part on receiving, from a server device, pattern analysis of stored responses in the interactive environment.
141. The memory device of claim 140, wherein the operations further comprise:
- continuously monitoring, using the computing device, the plurality of events in the interactive environment;
- continuously monitoring, using the computing device, a plurality of responses to the plurality of events;
- storing the plurality of events monitored by the client device;
- storing the plurality of responses monitored by the client device; and
- determining at least one action of the at least one of the plurality of avatars in a real user mode, an assisted duality mode, a competitive duality mode, or an autonomous operational mode.
142. The memory device of claim 140, wherein the operations further comprise:
- determining an association between each of the plurality of events in the interactive environment and the plurality of responses;
- categorizing each of the responses based at least in part on a decision metric, a performance metric, or an emotion metric; and
- storing in the memory device the association between each of the plurality of events in the interactive environment and the responses.
143. The memory device of claim 142, wherein the association is based at least in part on a frequency of occurrence measure, a statistical relevance measure, or a combination thereof.
144. The memory device of claim 140, wherein the operations further comprise searching the memory device to determine at least one decision metric or at least one performance metric to be applied by the at least one of the plurality of avatars in response to the at least one of the plurality of events in the interactive environment.
145. The memory device of claim 140, wherein the operations further comprise controlling the at least one of the plurality of avatars in response to a request indicating an autonomous mode or a competitive duality mode of the interactive environment.
146. The memory device of claim 140, wherein the at least one of the plurality of avatars is operative to communicate with at least another of the plurality of avatars.
147. The memory device of claim 146, wherein the at least one of the plurality of avatars is operative to communicate with the at least another of the plurality of avatars using an electronic mail emergency action message or a voice message based on synthetic speech generation.
148. The memory device of claim 140, wherein the operations further comprise:
- receiving requests to control the at least one of the plurality of avatars in the interactive environment;
- maintaining a database of rules corresponding to the control; and
- executing the requests to control the at least one of the plurality of avatars in the interactive environment based at least in part on the database of rules.
149. The memory device of claim 140, wherein the operations further comprise:
- storing registration information in a registration database; and
- activating the at least one of the plurality of avatars based at least on the registration information.
6662169 | December 9, 2003 | Rose |
6884163 | April 26, 2005 | Namba et al. |
7027055 | April 11, 2006 | Anderson et al. |
7090576 | August 15, 2006 | Herbich et al. |
20020082077 | June 27, 2002 | Johnson et al. |
20030004774 | January 2, 2003 | Greene et al. |
20040221224 | November 4, 2004 | Blattner et al. |
20040266506 | December 30, 2004 | Herbrich et al. |
20050137015 | June 23, 2005 | Rogers et al. |
20060122840 | June 8, 2006 | Anderson et al. |
20070218987 | September 20, 2007 | Van Luchene et al. |
20090216691 | August 27, 2009 | Borzestowski et al. |
20100179916 | July 15, 2010 | Johns et al. |
00101310 | February 2000 | WO |
- Shi, Jianping et al.; “Smart Avatars in JackMOO”; 1999; IEEE; Virtual Reality Proceedings 1999; 8 pages.
- Cowell, A.J. et al.; Avatars in Analytical Gaming; Computational Science and Engineering, 2009 CSE '09; International Conference on vol. 4 Digital Object Identifier: 10.1109/CSE.2009.448 Publication Year 2009; pp. 1174-1179.
- You-Zhi Xu et al.; Research on Intelligent Knowledge Push System Based on Rule Engine: A Case of Medical Training; Information Engineering and computer Science, 2009; ICIECS 2009; International Conference on Digital Object Identifier: 10.1109/ICIECS.2009.5365490 Publication year: 2009; pp. 1-4.
- Kharazmi, S. et al; Freshness of Web Search Engines: Improving Performance of Web Search Engines Using Data Mining Techniques; Internet Technology and Secured Transactions, 2009; ICITST 2009, International Conference for Publication Year 2009; pp. 1-7.
- Siddiqui, K.J. et al.; Knowledge Based System for Weather Information Processing and Forecasting; Geoscience and Remote Sensing Symposium, 1996; IGARSS '96; “Remote Sensing for a Sustainable Future”; International vol. 2 Digital Object Identifier: 10.1109/IGARSS,1996.516580 Publication year 1996; pp. 1099-1101, vol, 2.
- Avatars in Analytical Gaming, Cowell, A.J.; Cowell, A.K.; Computational Science and Engineering, 2009. CSE '09. International Conference on vol. 4 Digital Object Identifier: 10.1109/CSE.2009.448 Publication Year: 2009 , pp. 1174-1179.
- Research on Intelligent Knowledge Push System Based on Rule Engine: A Case of Medical Training, You-Zhi Xu; Ji-Jiang Yang; Qing Wang; Hui Pan; Information Engineering and Computer Science, 2009, ICIECS 2009. International Conference on Digital Object Indentifier: 10.1109/ICIECS.2009.5365490 Publication Year: 2009 , pp. 1-4.
- Freshness of Web search engines: Improving performance of Web search engines using data mining techniques, Kharazmi, S.; Nejad, A.F.; Abolhassani, H.; Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for Publication Year: 2009 , pp. 1-7.
- Knowledge based system for weather information processing and forecasting, Siddiqui, K.J.; Nugen, S.M.; Geoscience and Remote Sensing Symposium, 1996, IGARSS '96. ‘Remote Sensing for a Sustainable Future.’, International vol. 2 Digital Object Identifier: 10.1109/IGARSS.1996.516580 Publication Year: 1996 , pp. 1099-1101 vol. 2.
Type: Grant
Filed: Oct 11, 2012
Date of Patent: Sep 9, 2014
Assignee: Pea Tree Foundation L.L.C. (Wilmington, DE)
Inventors: John L. Caporale (Redmond, WA), Michael J. Caporale (Redmond, WA)
Primary Examiner: Stanley K Hill
Application Number: 13/650,071
International Classification: G06F 15/18 (20060101); G06N 99/00 (20100101);