Abstract: An adaptive online experimentation method and system is disclosed for more effectively and efficiently determining and conducting information gathering and evaluations associated with computer-based applications. The adaptive online experimentation process integrates decision analysis, value of information analysis, design of experiment models, and the inferencing of gathered information, including experimental results. The experimental results may include behaviors of users of a computer-based system. The process enables an automatic, adaptive, closed-loop process for attaining additional information and assimilating the attained information into the decision model.

Abstract: Adaptive recombinant processes enable business processes to be more adaptive to the changing needs and preferences of participants in the processes, and other business circumstances. Processes such as marketing, business development, and innovation can adapt to the needs of process participants through application of preference inferences derived from systems usage behaviors associated with process participants. Application of adaptive recombinant systems can therefore enable a process to become more valuable to the participants in the process through the facilitation of direct or indirect collaborative learning.

Abstract: Adaptive applications of affinity propagation are described to facilitate effective and computationally efficient means of clustering computer-based objects such as items of content, and/or to determine exemplars associated with a set of objects. Affinity propagation is also applied by the present invention to define system user affinity groups and/or exemplar users. The present invention applies usage behaviors as a basis for influencing clustering through methods such as initializing exemplar attractor values based on usage behaviors and/or basing similarity values between pairs of objects or users on usage behaviors associated with system objects, or usage behaviors that are associated with, directly or indirectly, specific system users.

Abstract: A mutually adaptive system is disclosed. The mutually adaptive system enables a plurality of constituent systems to interact and mutually adapt to their interactions. Adaptive recommendations may be generated and delivered from a first constituent system to a second constituent system based, at least in part, on interactive behaviors between the two systems. Delivery of these adaptive recommendations may include modification of structural aspects of the recipient constituent system. One or more of the constituent systems may include a representation of one or more people, and a first constituent system may include a representation of a second constituent system.

Abstract: A system and method of adaptive fuzzy networks is disclosed. Fuzzy networks comprise a network of computer-based objects and relationships among the objects, where the relationships may be by degree. The adaptive fuzzy network system provides functions for user interactions with the fuzzy network, including functions to modify the fuzzy network and to provide security and privacy controls. The adaptive fuzzy network system also provides functions to generate recommendations based, at least in part, on usage behaviors associated with the fuzzy network. Usage metrics associated the fuzzy network and its subsets are generated by the adaptive fuzzy network system, including metrics associated with people derivatively based on objects with which they are associated.

Abstract: In accordance with the embodiments described herein, a method and system for adaptive knowledge lifecycle management, and methods for delivering adaptive knowledge lifecycle management services to customers, is disclosed. Adaptive knowledge lifecycle management provides a means for beneficially adapting knowledge assets and their collective structures over time. It also provides a means for generating an estimate of the value of knowledge assets and their associated organizing topologies, as well as providing a means to determine changes in value corresponding to changes to the knowledge assets and their associated organizing topologies.

Abstract: A method and system for adaptive digital asset and media management is disclosed. Online assets and/or their associated structural context within a computer-based system are automatically modified based on assessed values derived from usage behaviors of users of the online assets. Adaptive media instances can be automatically generated, in conjunction with media instance rules and limits, from inferences of preferences derived from usage behaviors of users of computer-based systems. The media instance types that can be generated and managed include text-based, video-based, audio-based, or interactive media such as games.

Abstract: A system and method for adaptive commerce is disclosed. Adaptive commerce enables recommendations of products or services based on usage behaviors and commercial contextual information. Commercial contextual information may include the business environment of the recommendation recipient, purchase histories, and product or service attributes. Bundles of products and/or services, or specific product or service configurations may be recommended. Corresponding prices may be determined in accordance with behavioral inferences and commercial contextual information.

Abstract: A system and method for location-aware adaptive commercial processes is disclosed. Location-aware adaptive systems enable recommendations of products or services to be generated and delivered to a potential customer that are contextualized for the potential customer's location, as well as in accordance with inferences derived from captured usage behaviors associated with the potential customer. Multiple instances of the location-aware adaptive systems can collectively adapt over time. Novel sales processes can be based on the application of location-aware adaptive systems.

Abstract: A generative investment process method and system is disclosed for managing investment opportunities. The process applies recursive decomposition to investment opportunities and applies a discrete combinatorial model to the resulting combinatorial investment portfolio, enabling evaluation of existing opportunities and generation of new opportunities. The process may apply decision analysis, value of information analysis, design of experiment models, and inferencing of gathered information, including experimental results. The process enables an efficient and adaptive approach to attaining additional information and assimilating the attained information into the investment opportunity decision process.

Abstract: A method and system for a multi-attribute and advertisement recipient behavior-based advertising process is disclosed. The advertisement recipient behavior-based advertising process enables advertising pricing schedules to apply to a great variety of advertising recipient behaviors beyond “pay per view or impression” and “pay per click”. The advertisement recipient behavior-based advertising process may be used in conjunction with a multi-attribute advertising pricing and delivery model, and can apply to advertising delivered in conjunction with search, sponsored recommendations, or any other on-line or digital advertising approach.

Abstract: An adaptive system applied to social network and process network applications is disclosed. These adaptive social networking and tagging systems, and adaptive process network systems, apply algorithms for monitoring user usage behaviors across a plurality of usage behavior categories associated with a computer-based system, and generating recommendations based on inferences on user preferences and interests based, at least in part, on usage behaviors. Additional functions for effectively and efficiently managing social and process networks, such as social network measurement and analysis features, community tagging functions, and process network recombination functions are also described.

Abstract: An adaptive recommendation system and a mobile adaptive recommendation system are disclosed. The adaptive recommendation system and the mobile adaptive recommendation system include algorithms for monitoring user usage behaviors across a plurality of usage behavior categories associated with a computer-based system, and generating recommendations based on inferences on user preferences and interests. Privacy control functions and compensatory functions related to insincere usage behaviors can be applied. Adaptive recommendation delivery can take the form of visual-based or audio-based formats.

Abstract: An adaptive self-modifying system, a recombinant fuzzy network system, and an adaptive recombinant system are disclosed. The adaptive self-modifying system includes functions and algorithms for the self modification of structural elements, including relationships among system objects of the adaptive self-modifying system, based at least in part on usage behaviors associated with the system. The recombinant and adaptive recombinant systems feature functions for syndicating and combining fuzzy networks. The combining of the structural elements of the adaptive recombinant system may be based, at least in part, on usage behaviors associated with the system, and may be preferentially recombined based on evaluations of network “fitness.

Abstract: Methods of applying adaptive social computing systems are disclosed. The social computing systems include capabilities to generate adaptive recommendations and representations of social networks derived, at least in part, from inferences of the preferences and interests of system users based on a plurality of usage behaviors, spanning a plurality of usage behavior categories. The behavioral categories include system navigation behaviors, content referencing behaviors, collaborative behaviors, and the monitoring of physical location and changes in location. Privacy control functions and compensatory functions related to insincere usage behaviors can be applied. Adaptive recommendation delivery can take the form of visual-based or audio-based formats.

Abstract: An adaptive decision process is disclosed for more effectively and efficiently determining and conducting information gathering and evaluation associated with decisions. The adaptive decision process integrates decision analysis, value of information analysis, design of experiment models, and the inferencing of gathered information, including experimental results. The process enables an automatic, adaptive, closed-loop process for attaining additional information and assimilating the attained information into the decision model.

Abstract: In accordance with the embodiments described herein, a method and system for development and implementation of business and process strategies is disclosed. The disclosed business and process strategies method is an integrative approach that includes the integration of strategic frameworks with corresponding value drivers, with business lifecycle methods, including industry lifecycle, customer lifecycle, product lifecycle, solution lifecycle, and process lifecycle methods, as well as knowledge and content lifecycle methods.

Abstract: In accordance with the embodiments described herein, a method and system for development and implementation of business and process strategies is disclosed. The disclosed business and process strategies system and method is an integrative approach that includes the integration of strategic frameworks with corresponding value drivers, with business lifecycle methods, including industry lifecycle, customer lifecycle, product lifecycle, solution lifecycle, and process lifecycle methods, as well as knowledge and content lifecycle methods.

Abstract: A method for creating and managing customized print media through an enhanced content management process is disclosed. A print media customer, which may be an individual or organization, is profiled to determine content preferences. Profiling may be based on face-to-face or electronic surveys, Internet usage patterns, buying patterns, or other criteria. Content associated with the preferences is obtained and analyzed. Content affinities, or relationships between the content and other content in a content network, are determined, and may influence the print media produced. A history of the content is maintained, to ensure content is not duplicated. Both substantive and non-substantive content, such as advertising content, is used. Both the content and layout of the print media can be customized.