Abstract: A Process Automation System and accompanying method provides for the automated or semi-automated creation of workflow management procedures having an arbitrary number of tasks to be performed manually or via computer automation in specified sequences. Workflows are automatically or in a semi-automatic generated by prompting the user with valid choices. After creating the workflow, the system then acts as the executive for execution; initiating tasks, tracking status, and managing intermediate and final products. The capability is provided to define new products and tasks for the system via a graphical user interface.

Abstract: Provided is a method for monitoring measurement data by way of measurement channels. The measurement channels are processed in a plurality of time series of state values with mutually different time bases. Limit value ranges are ascertained in a learning phase and monitoring-related steps are triggered in a monitoring phase when limit values are exceeded. A good value extent is calculated for a time series with an upper and a lower limit value, with the inclusion of a limit value range which is predetermined in the learning phase and a state base value of the time series, which is determined in the monitoring phase.

Abstract: A software tool for creating, training and testing a knowledge base of a computerized customer relationship management system is disclosed. The software tool includes corpus editing processes for displaying and editing text-based corpus items, and assigning selected categories to individual corpus items. Knowledge base construction processes construct a knowledge base by analyzing a first subset of the corpus items, and testing processes test the knowledge base on a second subset of the corpus items. Reporting processes generate reports containing indicia representative of the testing results, which may be utilized to edit the corpus items and retrain the knowledge base so as to improve performance.

Abstract: Systems, methods and apparatus are provided through which in some embodiments, domain knowledge is translated into a knowledge-based system. In some embodiments, a formal specification is derived from rules of a knowledge-based system, the formal specification is analyzed, and flaws in the formal specification are used to identify and correct errors in the domain knowledge, from which a knowledge-based system is translated.

Abstract: One exemplary method for message suppression comprises: providing first and second rules, each having one or more preconditions and a conclusion, wherein the first rule also has a suppressed-by attribute and at least one of the second preconditions is suppressing; evaluating the one or more first and second preconditions; identifying the first rule as true or false; displaying the message of the second rule if all of the second preconditions are met; identifying the first rule as suppressed if the second rule is named in the suppressed-by attribute; and inhibiting the message display of the suppressed rule or routing the message to second display. The system can comprise: a database containing knowledge of the production unit; a user interface, and at least one precondition, a suppressed by attribute, and one or more rules each having a conclusion and at least one suppressing precondition; an inference engine; and a display.

Abstract: Techniques are described for providing information about a current state that is modeled with multiple state attributes. In some situations, the providing includes receiving from a module a request related to the modeling of the current state with the multiple state attributes. In such situations, the providing further includes, without further intervention related to the request by the module, determining that the request cannot currently be satisfied, and indicating to the module that the request cannot currently be satisfied, monitoring at later times after the indicating to determine whether the request can be satisfied, and indicating to the module that the request can be satisfied if it is determined at one of the later times that the request can currently be satisfied.

Abstract: Systems, methods and apparatus are provided through which in some embodiments an informal specification is translated without human intervention into a formal specification. In some embodiments the formal specification is a process-based specification. In some embodiments, the formal specification is translated into a high-level computer programming language which is further compiled into a set of executable computer instructions.

Abstract: A system is described for automatically invoking computational resources without intervention or request from a user of the system. The computational resources may operate by searching across a network, or may themselves be located across a network. In the system a query-free information retrieval system is described in which the exact technical documentation contained in existing user or other technical manuals is provided to a user investigating apparatus having a fault. The user enters symptoms based upon the user's analysis of the apparatus, and in response the system provides information concerning likely faults with the apparatus. As the symptoms are entered, to relative value of individual faults is determined and related to the symptoms they cause. The user can then select technical information relating to probable faults in the system.

Abstract: The present invention relates to a system and method for information process and motor control using artificially constructed apparatus. More specially, the present invention provides a system and method that can process nature language and other informational input including visual, audio and other sensory inputs and respond intelligently.

Abstract: A proactive user interface, installed in (or otherwise control and/or be associated with) any type of computational device. The proactive user interface actively makes suggestions to the user, based upon prior experience with a particular user and/or various preprogrammed patterns from which the computational device could select, depending upon user behavior. These suggestions could be made by altering the appearance of at least a portion of the display, for example by changing a menu or a portion thereof; providing different menus for display; and/or altering touch screen functionality. The suggestions could also be made audibly.

Abstract: A method for diagnosing depression includes providing surface-enhanced laser desorption/ionization mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analyzing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.

Abstract: Provided are architectures, system, methods, and computer program products that provide a user with the ability to define an association of data and/or information from known reference sets perceived by the user as relevant to a subject matter domain, thereby imparting and formalizing some of the user's knowledge about the domain. An associative relevancy knowledge profiler may also allow a user to create a profile by modifying or restricting the known reference sets and windowing the results from the association as a user might refine any other analysis algorithms. An associative relevancy knowledge profiler may also be used to define a user profile used by the user and others. A user profile may be usable in various manners depending upon, for example, rights management permissions and restrictions for a user.

Abstract: A system for performing configuration rule translation mapping. One or more feature inputs are received by a configuration rule translation mapper according to requirements for a specific machine type. The one or more feature inputs are translation source data. A selection of one or more translation types is received by the configuration rule translation mapper. Configuration rule translation mapping is performed by the configuration rule translation mapper based on the one or more translation types selected to translate translation source data into a desired format. The translation source data, which is translated into the desired format, is transferred by the configuration rule translation mapper to a configurable transformation macro. Then, a final transformation output is output by the configurable transformation macro using a transformation macro script and one or more transformation templates.

Abstract: Improvement projects in large organizations are often driven by process engineers with different backgrounds and different experiences. In such an environment is useful to support the process engineers by an effective knowledge management. Typically process knowledge of an organization is represented by a reference process having tables containing process objects with descriptions for e.g. roles, tasks and work products. By assigning annotations containing experiences gained from performed counseling projects to the respective objects of the tables, experiences made by consultants performing these projects can be added to the reference process in a formal way. This improves the reusability of knowledge and experience inherent in an organization.

Abstract: Systems and methods are disclosed to assist in making decisions. The systems and methods consider situations where the user is determining which of several alternatives is the best choice. The criteria to evaluate the decisions are input into a grid, and the user rates the different alternatives against the different criteria. Given several alternative choices or options, it provides the probability each alternative is the right selection. In one embodiment, the system implements a Bayesian approach. The systems and methods may estimate the chance some important consideration was missed thereby reducing the chance of being surprised or blindsided. The system and method may also examine the inputs to a decision analysis in order to detect entries that might reflect bias, assumptions or unusual reasoning, thereby increasing the chance of obtaining the correct answer. The systems and methods may also identify the factors that were predictive.

Abstract: A method of permitting a user to define preferred and acceptable audio/video experiences in a home network in terms that are meaningful for a human and that are translated to useful content transformation parameters.

Abstract: Various embodiments are directed to a computer implemented method for updating a policy that is enforced by a computer program. In one embodiment, a computer communicates, to a user, data regarding one or more decisions made by the program over a period of time according to a policy. Each decision is made on the particular policy in force at the time the decision is made. Policy data for the policy is stored in a machine readable format. The user feedback data indicative of feedback by the user regarding the one or more decisions is stored. The computer identifies and ranks one or more potential variations to the policy based on a score of an objective function for each potential variation. The computer communicates, to the user, one or more suggested modifications based on the ranking of the one or more potential variations to the policy. The computer modifies the policy data based on one or more selections by the user in response to the transmission of the one or more suggested modifications.

Abstract: The present invention relates to compliance rules analytics systems and methods for facilitating compliance, such as the compliance of an investment portfolio or a set of investment portfolios, with a rule or a set of rules.

Abstract: A method for storing a first copy of an object, including obtaining the object including a globally unique identifier (GUID), generating a first derived GUID using the GUID of the object, storing the first copy of the object identified by the first derived GUID in a root node of the object, publishing possession of the first copy of the object identified by the first derived GUID by the root node of the object, associating a first shadow root with the first copy of the object, and storing the first copy of the object identified by the GUID in the first shadow root.

Abstract: Missing data is addressed in a medical decision support system. The classifier applied to the patient record with missing data is obtained as a function of the available data. For example, one of a plurality of different classifiers is selected based on the features available in the patient record to be classified. The different classifiers are developed using different feature sets. The classifier developed using a feature set closest to or a sub-set of the features available in the patient record is selected for classifying the patient record. As another example, features in a training set corresponding to features available in the patient record are used to build a classifier. The classifier is applied to the patient record by inputting the available features of the patient record.

Abstract: Methods for constructing and maintaining knowledge representation systems are disclosed herein. The knowledge representation system is initially organized and populated using knowledge engineers. After the initial organization, scientific domain experts digest and structure source texts for direct entry into the knowledge representation system using templates created by the knowledge engineers. These templates constrain both the form and content of the digested information, allowing it to be entered directly into the knowledge representation system. Although knowledge engineers are available to evaluate and dispose of those instances when the digested information cannot be entered in the form required by the templates, their role is much reduced from conventional knowledge representation system construction methods. The methods disclosed herein permit the construction and maintenance of a much larger knowledge representation system than could be constructed and maintained using known methods.

Abstract: A display device to display a representation of a set of states, each one of the states being associated with a corresponding variable. Each of the states displayed is designated as being a most significant state for the corresponding variable. Input representing a probability estimate to be associated with a displayed state is entered and used to generate data for use in an expert system.

Abstract: The present invention can include a solution for capturing user-defined custom elements for use in a graphical modeling application. Such a system can include a graphical modeling application and a custom element definition tool. The graphical modeling application can be configured to create semantic models that contain a static graphical elements and semantic data elements. The custom element definition tool can be configured to create a user-defined custom element for the graphical modeling application. The user-defined custom element can consist of one or more static graphical element and/or one or more semantic data element.

Abstract: One exemplary method for message suppression comprises: providing first and second rules, each having one or more preconditions and a conclusion, wherein the first rule also has a suppressed-by attribute and at least one of the second preconditions is suppressing; evaluating the one or more first and second preconditions; identifying the first rule as true or false; displaying the message of the second rule if all of the second preconditions are met; identifying the first rule as suppressed if the second rule is named in the suppressed-by attribute; and inhibiting the message display of the suppressed rule or routing the message to second display. The system can comprise: a database containing knowledge of the production unit; a user interface, and at least one precondition, a suppressed by attribute, and one or more rules each having a conclusion and at least one suppressing precondition; an inference engine; and a display.

Abstract: During a total temporal interval a plurality of characteristic values of the technical system are determined. The total temporal interval is divided into a plurality of partial intervals, each partial interval being between a partial interval starting point and a partial interval end point in the total interval. According to said method, for each partial interval, at least one parameter of a pre-determined predictive model is adapted to the characteristic values determined in the partial interval in such a way as to obtain a partial adaptation with which a partial interval and the end point of the partial interval are associated. Respectively one modification measure is determined for the partial adaptations in such a way as to indicate the modifications of the parameters of the respective partial adaptation in relation to the parameters of at least one adjacent partial adaptation.

Abstract: Various embodiments include one or more of systems, methods, software, and data structures for dynamic categorization of rules and collections of rules within a rule base, such as a rule base of an expert system. One embodiment provides a computerized method that includes receiving a selection of one or more identifiers of rules in an expert system rule base and receiving a profile definition, the profile definition including metadata, which when processed, yields classification data that classifies the rules in the expert system rule base of the one or more selected rule identifiers. This computerized method further includes storing the profile definition with an association to the one or more selected rule identifiers of rules in the expert system rule base.

Abstract: Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source.

Abstract: The present invention interrogates computer systems prior to software installations to ensure software installations operate correctly and do not conflict with existing hardware and software. An agent application is first installed on a user's system. When a new program is about to be installed on the user's system, the agent checks if certain prerequisite requirements are met. The prerequisite requirements are downloaded from an expert system library, and the agent interrogates the user's system to determine if it passes the downloaded requirements. If the system passes, then the software is installed. If the system does not pass, then a report is sent to the user and/or a remediation script is initiated to repair the problem. After software is installed, if errors arise that were not previously detected, a feedback mechanism sends the errors to the expert system library so future errors are detected preemptively.

Abstract: A system and method of semantic to non-semantic routing for locating an expert. An inquiry-type database has a first layer of inquiry types organized from underlying criteria groupings, (humanly understandable descriptors). Additional layers are associated in a one-to-one correspondence with the first layer of inquiry types. Experts, having individualized knowledge, are listed in a skill-set database associated with the inquiry types. The skill-set database entries are linked to the associated inquiry-type by a numerical routing identifier. An expert is selected from the skill-set database entry linked by the numerical routing identifier. In another embodiment, multiple enterprises are mapped to separate layers of inquiry types having a one-to-one correspondence with the underlying groupings. A skill-set database entry is related to the inquiry type through a numerical routing identifier, the identifier being selected from a respective range of identifiers associated with the respective multiple enterprises.

Abstract: Certain embodiments of the present invention provide a method for configuring a medical imaging system, the method comprising: permitting a user to interact with a display protocol, said display protocol further comprising a plurality of rules; allowing said user to select a target rule from said plurality of rules; and facilitating said user to configure a condition for said target rule, wherein said display protocol is capable of a first execution when said condition is satisfied, and wherein the display protocol is capable of a second execution when said condition is not satisfied. In accordance with an embodiment, said condition further comprises at least one of: an entry condition and an exit condition.

Abstract: An expected outcome data system stores data representing a plurality of different expected outcomes of patient care and treatment for use in providing healthcare to a patient. An acquisition processor acquires data representing an expected outcome of treatment associated with a medical problem for storage in a repository. A repository, electrically coupled to the acquisition processor, includes data representing a plurality of different expected outcomes; an individual expected outcome has an expected outcome name and is characterized by expected outcome attributes; an individual expected outcome has a plurality of attribute properties determining how an expected outcome attribute is represented. Expected outcome attributes include a focus term indicating a topic of an expected outcome, an expected outcome likelihood term indicating an assessment of likelihood of the associated corresponding expected outcome, and a client term indicating at least one target person for care.

Abstract: Methods and systems for semiconductor testing. In one embodiment, a semiconductor testing method includes one or more of the following stages: defining a rule relating to semiconductor testing, validating the rule, bundling the rule with other rules, correlating the rule with other rules, publishing the rule, actualizing the rule, and follow up relating to the rule. In one embodiment, a semiconductor testing system includes one or more of the following modules: rule creation module(s), analysis module(s), simulation module(s), real time production module(s), and offline production module(s). In one embodiment, user friendly graphical user interface(s) can be used for defining the building blocks of a rule and/or for viewing an optional hierarchy of categories to which the rule belongs.

Abstract: A platform used for capturing knowledge. More specifically, a framework configured to capture expert knowledge (e.g., of trained and/or skilled workers) for future instructional purposes (e.g., training of a younger, or less experienced, workforce). The platform comprises a knowledge recorder, instructional design tool, standardized XML, and gaming engine. The knowledge recorder is configured to capture knowledge of a user, which is transferable using a standardized XML format. The instructional design tool is configured to visually model a gaming scenario in order to expose and define logical situations based on the captured knowledge.

Abstract: An apparatus, system and method for facilitating decision-making in connection with management of enterprise assets are disclosed. A real time expert decision support module is interfaced with an access portal including a navigation table for asset management, and with an historical parameter database associated with a distributed control system of plant end sensors and actuated control elements of a production process. The access portal and navigation table provide access to tools in the support module that facilitate real time decision making information delivery to the functional teams that support an asset, line of sight management performance models of team performance, practical performance analysis tools that extract information in real time from the process control system and other sources of asset data for translation into actionable information, and a real time interactive schematic environment.

Abstract: A system and method of automatically generating workflows. Generating the workflows is accomplished by obtaining customer requirements, providing a knowledge base including at least one service description and selecting at least one combination of service descriptions from the at least one service description based on satisfaction of the customer requirements and satisfaction of determination of connectivity between service descriptions for each combination of the at least one combination. At least one valid workflow model is generated by inference, each workflow model including a combination of the at least one combination.

Abstract: A performance data mining system combines detailed sensor analysis data with other data sources to discover interesting patterns/rules for performance and utilizes real time sensor analysis to dynamically derive mining results in real time during an event. The system automatically generates advice/strategy and predictions based on specified criteria.

Abstract: A system providing an interactive web based experience via an expert resource is provided. In this system, virtual experts field questions from end users, letting the users have control over an information-on-demand experience.

Abstract: A computer program may involve a dynamic operation, which may specify one of many types of methods based on the conditions of the invocation during runtime, such as the parameters provided to the dynamic operation. The appropriate performance of the dynamic method may be achieved by analyzing the conditions of the invocation according to an evaluation rule set, the rules comprising conditions and an action to be performed if the conditions are satisfied. The evaluation rule set may also be reconfigured upon identifying a satisfied rule to facilitate a faster evaluation of the dynamic operation during a second and subsequent invocations.

Abstract: Various embodiments provide a tool, referred to herein as “Active Lab” that can be used to develop, debug, and maintain knowledge bases. These knowledge bases (KBs) can then engage various applications, technology, and communications protocols for the purpose of task automation, real time alerting, system integration, knowledge acquisition, and various forms of peer influence. In at least some embodiments, a KB is used as a virtual assistant that any real person can interact with using their own natural language. The KB can then respond and react however the user wants: answering questions, activating applications, or responding to actions on a web page.

Abstract: The invention provides a decision support method for two or more pre-defined criteria and two or more profiles. Each criterion comprises two or more pre-defined and ordinally ranked categories. Each profile comprises a set of two or more of the criteria. Each criterion in the set is associated with one of the categories for that criterion. The method performs a comparative assessment of profiles involving an ordinal pairwise ranking of profile pairs. The method further comprises solving a system of equalities/inequalities that represents the ordinal pairwise rankings of profile pairs to obtain a point value for each category on each criterion and/or a ranking of all possible profiles and/or a ranking of a subset of all possible profiles. The invention also provides a related system and computer program.

Abstract: A rules collector system and method. The system and method enables a process of capturing an expertise of an individual in a formalized manner, and which may update rules and knowledge databases with information based on the interaction with the individual. The system includes a rules retrieval coordinator responsive to an input from an individual and adapted to provide relevant information to the individual based on the input and to enable a bidirectional information exchange with the individual. A rules input processor is used for monitoring responses from the individual and generating one of a plurality of different outputs depending on the responses. A rules generator is responsive to the rules input processor and is used to form one or more new rules based on the responses from the individual. A rule integrity check subsystem automatically checks integrity of the new rule based on pre-existing rules.

Abstract: Systems and methods that provide for automated research into the workings of one or more studied systems include automated research software modules that communicate with domain knowledge bases, research professionals, automated laboratories experiment objects, and data analysis processes, wherein automatically selected experiment objects can be run at an automated laboratory to produce experimental results, and the subsequent data-processing providing automated guidance to a next round of experiment choice and automated research. An Experiment Director rules engine chooses Experiment Objects based on user input through a Query Manager.

Abstract: Methods and systems permit a user to decide what different responses are triggered when different visual stimuli are presented to the user's wireless communications device.

Abstract: Monitored content is analyzed to determine full and partial matches to previously classified content. Monitored content matching previously classified public content is classified as public, even if the monitored content is also found to match previously classified private content. In other words, public classification “overrides” potentially private classification. Monitored content matching only previously classified private content is classified as private. All remaining otherwise unclassified monitored content is classified as unknown. Monitored content is analyzed with respect to a session. If any content in a session is private, then the session is classified as private. If all content in a session is public, then the session is classified as public. Otherwise, the session is classified as unknown. In a related aspect, a set of policies are searched for a first match in part according to the classification, and a designated action taken if the first match is found.

Abstract: A system, apparatus, and method to dynamically allocate resources provide full connectivity between elements. A common decision execution capability (CDEC) forms a centralized command and control function able to control the elements. The CDEC is adapted to generate virtual chains, each virtual chain a combination of the elements, to achieve an objective. The CDEC can select a virtual chain and either perform the selected virtual chain or generate a plan associated with the virtual chain.

Abstract: A computer system and method providing on-demand extension of ontology in an ontology use process. A support module responds to a creation event in the ontology use process. The support module defines ontology specification for a newly created item, in the creation event, in a manner substantially free of disruption or interruption to the ontology use process. An ontology manager incorporates the defined ontology specification into the ontology during the ontology use process such than an on-demand extension of the ontology results.

Abstract: A segmentation management system manages segmentation of a set of members in a multi-dimensionally modeled data source. The segmentation management system comprises a segment definition manager, a segmentation engine and a segment application manager. The segment definition manager manages definitions of identifiable non-overlapping segments for a given base set of members in a multi-dimensionally modeled data source. The segmentation engine divides the base set of members into the segments based on the definitions of the segments. The segment application manager allows the segments to be used as objects.

Abstract: An expert decision-making method is emulated based on a history of behaviors by experts in a variety of observed situations. The history of behaviors is built up from observations of actions taken by experts in analyzing a plurality of situations. Situation data representative of a situation to be processed is received, and situation features are extracted from the situation data. Each situation feature is associated with an expert behavior method used to process the situation. A behavior method is recognized from a pattern of situation features. Recognizing a behavior method is based on feature/method separation data in multidimensional space of features into so areas with each area associated with a method used by experts. Parameter values for parameters in the recognized behavior method are calculated based on the situation features. The calculation of parameter values is accomplished by recognizing parameter calculation rules and calculating the parameter values using the rules.

Abstract: The present invention tests computer systems for defects that are able to cause performance and functional problems. An agent application is first installed on a user's system. The agent application then retrieves problem data from the expert system library pertinent to the user's operating environment. The agent application tests the user's system for each problem description within a downloaded data structure from the expert system library. If a problem is discovered, a script attempts to remediate the problem and/or notifies the user, describing the issue. If an unknown problem arises, a feedback mechanism sends a notification to the expert system library that a problem was discovered. The feedback is then utilized to increase the total knowledge in the expert system library. Then when another user with a similar or the same setup is tested, the agent application will recognize the issue and will take the appropriate remedial actions.

Abstract: An editing process for an explanatory model includes a step for producing the explanatory model in the form of a set of rules. The rules are represented by logical combinations of elementary premises, each elementary premise including a restriction of the field of the variable. The rules are also represented by a logical combination of elementary conclusions, each elementary conclusion also including a restriction of the field of a variable. The process also includes a step for modifying at least a part of the initial rules, to determine a new explanatory model. The step for modifying the rules includes modifying the restrictions of the field of the variables, and calculating the quality indicators for the rule by applying the modified set of rules to a data source called the examples basis.