Acquisition of complex behavior for artificial life based on the behavior composed neuro-control
| Project/Area Number |
24560283
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent mechanics/Mechanical systems
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| Research Institution | Kitami Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2014: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | ビヘイビアコンポーズド / 人工生命 / 物理エンジン / ニューロイボリューション / 進化計算 / 自律行動 / 機械学習 / 神経振動子 / 人工ニューラルネットワーク(ANN) / 遺伝的アルゴリズム(GA) / 協調行動 |
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| Outline of Final Research Achievements |
This study proposes and develops the behavior composed neuro control, which realizes complex behaviors for the artificial life (A-life). A dog model is used as the A-life model on two different environments, namely a land and water environment. The central pattern generator (CPG) to generate a walking rhythm, the behavior composed neural networks (NN) to control complex walking, and the real number coded genetic algorithm (RCGA) to evolve the walking controller are implemented with the dog model. Simulation results prove that the proposed methods acquire a series of complex behaviors for the artificial life.
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Report
(4 results)
Research Products
(56 results)
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[Presentation] 移動ロボットの協調行動の獲得2014
Author(s)
對馬修宇，渡辺美知子，鈴木育男，岩館健司
Organizer
2014年度精密工学会秋季大会学術講演会
Place of Presentation
鳥取
Year and Date
2014-09-16 – 2014-09-18
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