Abstract: The disclosed system and method for maximizing social adhesion between selected individuals and groups of individuals utilizes symbolic emotional and intuition-driven architectures combined with inference process algebras such as, but not limited to, cost calculus ($-calculus) which are capable of correlating conciseness and subconscious sensory driven psychological profiles of select individuals and groups of individuals combined with leisure and entertainment venues resulting in “matching” recommendations that maximize social adhesion and minimize social friction.

Abstract: The disclosed system and method for ensuring social adhesion between selected individuals and groups of individuals is based upon specific sensory driven social adhesion Psychological profiles as well as matching entertainment requirements; and which are designed to minimize and, in many cases, totally eliminate frustration and dissatisfaction. This invention utilizes sensory driven psychological profiles of select individuals and groups of individuals; and rule-based, machine learning artificial intelligence that correlates “customer” social adhesion profiles and preferred entertainment preferences with extensive databases describing in great detail available products and services.

Abstract: The disclosed autonomous cognitive audiovisual editing system and method is capable of cognitively analyzing captured audiovisual content including, but not limited to, video streams, audio streams and still images; and autonomously selecting editing features thereby eliminating the requirement that a user manually input information, such as a theme upon which editing is based. This is an important distinction from other “artificial intelligence” systems and methods which require, for example, manual selection of a video theme, which is not always compatible with the content of the captured audiovisual data.

Abstract: The present invention relates to inspection of medical patients including, but not limited to, phonocardiography, auscultation and ultrasound medical imaging and other non-acoustical inspection techniques; and industrial non-destructive testing and evaluation of materials, structural components and machinery; and more particularly to the incorporation of cognitive artificial intelligence into an inspection system and method that utilizes cognitive mathematical techniques which emulate the cognitive processing abilities of the human brain including, but not limited to, symbolic cognitive architectures and inference process algebras, to analyze data collected from infrasound acoustical sensors (0.

Abstract: An organically instinct-driven simulation system and method that enables organically instinct-driven simulation agents to intuitively, instinctively and logically anticipate future simulation states based upon inputs into the simulation; and proactively execute aggressive actions that are organically instinctive, forward looking, emotional and aggressively proactive resulting in a simulation that is more challenging to human participants. The system and method utilizes symbolic emotional and organically instinct-driven mathematical architectures; and inference processing algebras enabling instinct-driven simulation agents with the organically instinctive, predictive, aggressively proactive and the emotional behavior patterns of humans.

Abstract: A cognitive system and method for predicting and detecting security breaches is provided which yields cognitive inputs to a security management interface accessible by a human operator. The system utilizes symbolic cognitive architectures and inference processing algebras allowing the system to respond to open, incomplete, and/or unknown problem domains, offering flexibility in the case of unexpected changes in the security environment. The system is also capable of intelligently, and in real-time, adapting security peripheral configurations to further probe and analyze the real-time security environment, provided real-time data that can be processed with symbolic cognitive architectures and inference process algebras enabling the identification of new and emerging threat profiles leading to the prediction and detection of security breaches.

Abstract: A cognitive system and method for predicting and detecting security breaches is provided which yields cognitive inputs to a security management interface accessible by a human operator. The system utilizes symbolic cognitive architectures and inference processing algebras allowing the system to respond to open, incomplete, and/or unknown problem domains, offering flexibility in the case of unexpected changes in the security environment. The system is also capable of intelligently, and in real-time, adapting security peripheral configurations to further probe and analyze the real-time security environment, provided real-time data that can be processed with symbolic cognitive architectures and inference process algebras enabling the identification of new and emerging threat profiles leading to the prediction and detection of security breaches.