COGVIEW & INTELNET: Nuanced energy-based knowledge representation and integrated cognitive-conceptual framework for realistic culture, values, and concept-affected systems simulation

An increasingly important AI frontier is the ability to represent worldviews, culture, values, and other nuanced structures, and to simulate the effects of these on perception, emotion/affect, judgment, and opinion formation. Such information, however, is notably difficult to model and represent, due to its fine-grained, diffuse nature. Reasoning is also highly challenging in these domains. This paper presents a novel `Energy-Based´ Knowledge Representation formalism (INTELNET) ideal for modeling, fusing, and reasoning about nuanced semantics, cultures, affects, and worldviews. It then introduces the integrated COGVIEW conscious/unconscious psychological simulation framework operating on top of INTELNET and advances a detailed example within the suicide terrorism domain. Applications include intelligent reasoning systems, humanitarian missions, cultural simulations, knowledge engineering, language processing, anti-discrimination and prejudice reduction, terrorism reduction, and norm change efforts, among others.