Modeling of associative dynamics in hippocampal contributions to heuristic decision making

Authors:
Miki Hirabayashi;Hirodata Ohashi
Affiliations:
Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology, Kobe, Hyogo, Japan and Department of Quantum Engineering and Systems Science, The University of ...;Department of systems innovation, The University of Tokyo, Tokyo, Japan and Department of Quantum Engineering and Systems Science, The University of Tokyo, Tokyo, Japan
Venue:
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Year:
2008

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Abstract

We present a new analysis on the heuristic strategy developed in the hippocampal circuit through the memory and learning process. A heuristic approach rapidly leads a solution close to the best possible answer utilizing easy-access information under the situation in which it is difficult to find the best answer. Focusing on the day trading, which needs the rapid decision making within a restricted time, we demonstrate that the heuristic strategy emerges in the process of the memory integration through the compensation for the limit of the information processing ability of the brain. We expect that findings from our trials will help to reveal the hippocampal role on the establishment of decision making strategies and provide the new idea in order to predict the social behavior or improve the current computer power.