A Framework and Architecture for a Cognitive Manager Based on a Computational Model of Human Emotional Learning

نویسندگان

  • Stephanie Hamill
  • Urban Bilstrup
  • Mahboobeh Parsapoor
چکیده

In this paper we propose an architecture for a cognitive engine that is based on the emotional learning cycle instead of the traditional cognitive cycle. The cognitive cycle that traditionally has been used as reference for cognitive radio is on the basis of the Unified Theories of Cognition (UTC) to model rational decision making in humans. UTC represents a rational goal-oriented decision-action made by an intelligent agent. However, the emotional cycle represents an emotional reaction-oriented cycle instead. These two models differ in function and structure of learning, decision making and optimization. In this work the structure of these two learning cycles are compared and a computational model for artificial emotional learning based engine is suggested.

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تاریخ انتشار 2016