An approach to modeling artificial general intelligence (AGI) consciousness is outlined. This approach includes the principle of model construction, the theoretical foundations, the tools that implement the basic actions of consciousness, and the intended implementation environment. The principle that defines the structural and functional aspects of the model consists of treating consciousness as an internal sensing and manipulation tool for integrities of sensory, cognitive, and mental content. The basic tools of the consciousness model are defined based on the concepts of: semantic pointers, psychological markers and cognitive effort. ChatGPT is considered as the implementation environment. The implementation is based on establishing equivalence between, on the one hand, the basic elements of consciousness-sensations and, on the other hand, ChatGPT embeddings. Equivalence refers to the elements of both environments as: a) identifiers of subject content and b) actants of transformations. The interface implementing the equivalence relation is built as a program add-on to ChatGPT. #CSOC1120.

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Modeling AGI Consciousness: Principle, Theories, Tools and Implementation Prospects

  • Vladimir V. Suvorov

摘要

An approach to modeling artificial general intelligence (AGI) consciousness is outlined. This approach includes the principle of model construction, the theoretical foundations, the tools that implement the basic actions of consciousness, and the intended implementation environment. The principle that defines the structural and functional aspects of the model consists of treating consciousness as an internal sensing and manipulation tool for integrities of sensory, cognitive, and mental content. The basic tools of the consciousness model are defined based on the concepts of: semantic pointers, psychological markers and cognitive effort. ChatGPT is considered as the implementation environment. The implementation is based on establishing equivalence between, on the one hand, the basic elements of consciousness-sensations and, on the other hand, ChatGPT embeddings. Equivalence refers to the elements of both environments as: a) identifiers of subject content and b) actants of transformations. The interface implementing the equivalence relation is built as a program add-on to ChatGPT. #CSOC1120.