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Modeling of Associative Dynamics in Hippocampal Contributions to Heuristic Decision Making

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Advances in Neuro-Information Processing (ICONIP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5506))

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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.

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Hirabayashi, M., Ohashi, H. (2009). Modeling of Associative Dynamics in Hippocampal Contributions to Heuristic Decision Making. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_33

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  • DOI: https://doi.org/10.1007/978-3-642-02490-0_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02489-4

  • Online ISBN: 978-3-642-02490-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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