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Human Frontal Lobes and AI Planning SystemsHuman frontal lobes are essential for maintaining a self-regulating balance between predictive and reactive behavior. This paper describes a system that integrates prediction and reaction based on neuropsychological theories of frontal lobe function. In addition to enhancing our understanding of deliberate action in humans' the model is being used to develop and evaluate the same properties in machines. First, the paper presents some background neuropsychology in order to set a general context. The role of frontal lobes is then presented by summarizing three theories which formed the basis for this work. The components of an artificial frontal lobe are then discussed from both neuropsychological and AI perspectives. The paper concludes by discussing issues and methods for evaluating systems that integrate planning and reaction.
Document ID
20010045535
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Levinson, Richard
(NASA Ames Research Center Moffett Field, CA United States)
Lum, Henry Jr.
Date Acquired
August 20, 2013
Publication Date
January 1, 1994
Subject Category
Behavioral Sciences
Meeting Information
Meeting: The Second International Conference on AI Planning Systems
Location: Chicago, IL
Country: United States
Start Date: June 15, 1994
End Date: June 17, 1994
Funding Number(s)
PROJECT: RTOP 233-02-07
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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