Interactive Causation: a Neurosymbolic Agent
نویسندگان
چکیده
Interactive Causation Agent (ICA), a novel unsupervised adaptive neurosymbolic model based on a theory of causality (Interactive Causation), is defined, offering an interactive computational approach to problems in the algorithmic computing of interaction. Interactive Causation provides a compatible framework of nonalgorithmic computation and environment, permitting tractable computation of temporal aspects of the environment. The agent model employs a selfgenerating self-organising computational representation of environment (harnessed through interaction with the environment), combined with programmable goals.
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