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AUTHOR(S): Cyrus F Nourani
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ABSTRACT Visual analytics based on a visual virtual tree-based functional deductive system called Morph Gentzen that was developed by the author since 1997. Context abstractions with categorical linguistics, agent languages, and Meta-Contextual Reasoning are newer areas encompassed since the Morph Gentzen computing logic by this author since 1997. Reflecting on what was accomplished over the years, this brief is a glimpse on the techniques that bring forth computable AI world knowledge representable with generic model diagrams, characterized with a minimal family of generalized Skolem functions. The functions may correspond to objects defining shapes and depicting pictures. The process is instantiated on tableau sequents with logical deductive completeness on the sequent models that are proved to have compactness properties. There are applications to multimodal foundation models (LLM) to be explored. |
KEYWORDS Model Diagrams, Morph Gentzen, virtual tree computing, visual nonmonotonic logic, neuromorphic computing, Visual LLM, Context Abstraction, Language Categories, Agent computing Linguistics, Meta-Contextual Reasoning, VR computing, Haptic logic, IM, Multiagent AI Computing, Intelligent Multimedia Databases |
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Cite this paper Cyrus F Nourani. (2025) A Visual Agentic Multimodal Deductive System. International Journal of Computers, 10, 319-326 |
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