RGL Study in a Hybrid Real-time System

K. Hennacy, N. Swamy, and D. Perlis (USA)


Emergent Intelligence, Hybrid Reasoning, Real-Time Behavior, Reason Guided Learning


Our work focuses on the study of learning paradigms within a hybrid reasoning system, consisting of a Neural Network and Symbolic Reasoner. There are several aspects to this problem that invite comparisons to work in other fields of study involving for example, knowledge representation, behavioral modeling, and neuromorphic engineering. Central to this paper is a discussion on the coupling between a particular learning paradigm and the behaviors that a real-time system develops in attempting to achieve a specific goal.

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