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Human Cognition and Artificial Intelligence: The Artificial Prefrontal Cortex Revisited

Authors:
Dr. James A. Crowder, Systems Fellow, Colorado Engineering Inc.
Dr. Shelli Friess, LPC, NCC, ACS, School of Counseling, Walden University

Abstract:
Many researchers have postulated that human cognition is implemented by a multitude of relatively small, special purpose processes, almost always unconscious communication between them is rare and over a narrow bandwidth. Coalitions of such processes find their way into consciousness. This limited capacity work space available for our cognition serves to broadcast the message of the coalition to all the unconscious processors within the human brain, to recruit other processors to join in handling the current novel situation, or in solving the current problem. Therefore, consciousness in this theory allows us to deal with novelty or problematic situations that can’t be dealt with efficiently, or at all, by habituated unconscious processes. It provides access to appropriately useful resources, thereby solving the relevance problem. Here we present the design and testing of and Artificial Prefrontal Cortex (APC) model for use cognitive state transition and management in artificial cognition systems.

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Human Cognition and Artificial Intelligence: The Artificial Prefrontal Cortex Revisited (3 downloads)