Presentation 2008-03-13
Computational Modeling of Human Adaptive Planning in Dynamic Environments
Atsushi SATO, Satoru ISHIKAWA, Takashi OMORI, Koichiro YAMAUCHI,
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Abstract(in English) With our flexibility of behavior, we can act efficiently in surrounding environments. To understand process of the ability, in this study, we assumed the environments are dynamic, humans cannot keep their memories completely and do not plan their action sequence completely. We propose a model of human action sequence planning in the dynamic environments. Our model has topdown and bottomup processes. The topdown process outputs a list of actions to achieve the task. On the other hand the bottomup process outputs a list of actions corresponding to the recognized objects. The adaptive planning is achieved as a combination of both processes. To evaluate our model, we simulated a coffee making task in a virtual dynamical world. The result showed that an agent with the proposed model acted more efficient and flexible than an agent without the bottomup process.
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Keyword(in English) Planning / Dynamic environments / Model / Flexibility of behavior / Topdown / Bottomup
Paper # NC2007-162
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Committee NC
Conference Date 2008/3/5(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Computational Modeling of Human Adaptive Planning in Dynamic Environments
Sub Title (in English)
Keyword(1) Planning
Keyword(2) Dynamic environments
Keyword(3) Model
Keyword(4) Flexibility of behavior
Keyword(5) Topdown
Keyword(6) Bottomup
1st Author's Name Atsushi SATO
1st Author's Affiliation Division of Synergetic Information Science, Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Satoru ISHIKAWA
2nd Author's Affiliation Department of Literature , Hokuseigakuen University
3rd Author's Name Takashi OMORI
3rd Author's Affiliation Brain Science Institute, Tamagawa University
4th Author's Name Koichiro YAMAUCHI
4th Author's Affiliation Division of Synergetic Information Science, Graduate School of Information Science and Technology, Hokkaido University
Date 2008-03-13
Paper # NC2007-162
Volume (vol) vol.107
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue