Abstract: An application program, system and methods are configured to implement concurrent multiuser epistemological collaboration, that is, collaborative development of a digital knowledge model based on at least one epistemological “experience,” which is stored as a structured data entity containing information that can be personally perceived (typically viewed, read, observed) by multiple concurrent users of the application over a network. The users develop the digital knowledge model, by way of GIU interactions, comprising assertion entities and belief entities based on the experience and/or selected portions of the experience defined by focus entities; wherein each set of assertion entities is related as a child of a corresponding individual experience of the set of experience entities; and each set of belief entities is related as a child of a corresponding individual assertion of the set of assertion entities.

Abstract: In an example, a system is disclosed for behavioral conditioning through games using a systematic process of cue deconstruction, reaction prompting, and the novel application of classical and operant conditioning techniques. The invention describes the design and production of specially configured clients with given conditioned and unconditioned stimuli for reinforcement and punishment, their provision through a server, and the collection of user metrics for behavioral profiling.

Abstract: A system and method for automatically optimized statistical analysis by computer is disclosed. Given a programmatic definition of the data model, the system generates, manages, and interfaces optimized computer code for use by higher level client applications. The method by which the computer generated code is transparently compiled and linked for remote access by clients provides near peak numerical efficiency without any human optimization in the client space. The configuration of model subsystems is designed to allow flexible general purpose analytics as well as specialized machine learning through optimizing feedback mechanisms.

Abstract: A system and method is disclosed for knowledge engineering using a computerized graphical editor to manage and create knowledge-based systems containing a navigable graph of modal pages with conditional content and user interface knowledge. The invention enables the entire knowledge engineering workflow to be performed within a non-technical graphical environment and without requiring a computer programming or mathematical background. Further, the presentation of knowledge as modal pages allows for simple ontological discovery and end-user player operation. Once editing is complete, the method allows for the set of pages, variables, and settings of which the knowledge-based system is composed to be exported into an independently executable knowledge-based system player containing an embedded inference engine.

Abstract: A method for transporting relational data from one relational database to another such database. The data transported may be a subset of data in the entire database and the relations between the root of this data and other data entities are preserved in a way allowing their reconstruction in the target database. This preservation, itself further directed through configuration, is able to recreate new data identifiers without collision, yet also without requiring maintenance of the original identifiers.

Abstract: A system and method for automatically optimized statistical analysis by computer is disclosed. Given a programmatic definition of the data model, the system generates, manages, and interfaces optimized computer code for use by higher level client applications. The method by which the computer generated code is transparently compiled and linked for remote access by clients provides near peak numerical efficiency without any human optimization in the client space. The configuration of model subsystems is designed to allow flexible general purpose analytics as well as specialized machine learning through optimizing feedback mechanisms.

Abstract: An application program, system and methods are configured to implement concurrent multiuser epistemological collaboration, that is, collaborative development of a digital knowledge model based on at least one epistemological “experience,” which is stored as a structured data entity containing information that can be personally perceived (typically viewed, read, observed) by multiple concurrent users of the application over a network. The users develop the digital knowledge model, by way of GIU interactions, comprising assertion entities and belief entities based on the experience and/or selected portions of the experience defined by focus entities; wherein each set of assertion entities is related as a child of a corresponding individual experience of the set of experience entities; and each set of belief entities is related as a child of a corresponding individual assertion of the set of assertion entities.

Abstract: A system and method for automatically optimized statistical analysis by computer is disclosed. Given a programmatic definition of the data model, the system generates, manages, and interfaces optimized computer code for use by higher level client applications. The method by which the computer generated code is transparently compiled and linked for remote access by clients provides near peak numerical efficiency without any human optimization in the client space. The configuration of model subsystems is designed to allow flexible general purpose analytics as well as specialized machine learning through optimizing feedback mechanisms.

Abstract: A method for transporting relational data from one relational database to another such database. The data transported may be a subset of data in the entire database and the relations between the root of this data and other data entities are preserved in a way allowing their reconstruction in the target database. This preservation, itself further directed through configuration, is able to recreate new data identifiers without collision, yet also without requiring maintenance of the original identifiers.

Abstract: A method for transporting relational data from one relational database to another such database. The data transported may be a subset of data in the entire database and the relations between the root of this data and other data entities are preserved in a way allowing their reconstruction in the target database. This preservation, itself further directed through configuration, is able to recreate new data identifiers without collision, yet also without requiring maintenance of the original identifiers.

Abstract: A system and method for automatically optimized statistical analysis by computer is disclosed. Given a programmatic definition of the data model, the system generates, manages, and interfaces optimized computer code for use by higher level client applications. The method by which the computer generated code is transparently compiled and linked for remote access by clients provides near peak numerical efficiency without any human optimization in the client space. The configuration of model subsystems is designed to allow flexible general purpose analytics as well as specialized machine learning through optimizing feedback mechanisms.

Abstract: A method for transporting relational data from one relational database to another such database. The data transported may be a subset of data in the entire database and the relations between the root of this data and other data entities are preserved in a way allowing their reconstruction in the target database. This preservation, itself further directed through configuration, is able to recreate new data identifiers without collision, yet also without requiring maintenance of the original identifiers.

Abstract: A system and method is disclosed for knowledge engineering using a computerized graphical editor to manage and create knowledge-based systems containing a navigable graph of modal pages with conditional content and user interface knowledge. The invention enables the entire knowledge engineering workflow to be performed within a non-technical graphical environment and without requiring a computer programming or mathematical background. Further, the presentation of knowledge as modal pages allows for simple ontological discovery and end-user player operation. Once editing is complete, the method allows for the set of pages, variables, and settings of which the knowledge-based system is composed to be exported into an independently executable knowledge-based system player containing an embedded inference engine.