Computational models of the amygdala and the orbitofrontal cortex: A hierarchical reinforcement learning system for robotic control

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2557, Issue , 2002, Pages 419-430

  Zhou, Weidong ^a   Coggins, Richard ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATION THEORY; COMPUTATIONAL METHODS; DECISION MAKING; LEARNING ALGORITHMS; LEARNING SYSTEMS; ROBOTICS;

ABSTRACT REPRESENTATION; BIOLOGICALLY PLAUSIBLE COMPUTATIONAL MODELS; COMPUTATIONAL MODEL; DECISION MAKING PROCESS; EMOTION PROCESSING; HIERARCHICAL REINFORCEMENT LEARNING; ORBITOFRONTAL CORTEX; PHYSICAL ENVIRONMENTS;

REINFORCEMENT LEARNING;

EID: 84943254198     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36187-1_37     Document Type: Conference Paper

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