Evolving Planning Behaviors in an Artificial Ecosystem

スポンサーリンク

概要

• 論文の詳細を見る

• この論文は国立情報学研究所の電子図書館事業により電子化されました。A tradeoff between reactive and deliberative planning exists in artificial and natural ecosystems. We introduce an evolutionary approach to balance planning behavior for agents in competitive ecosystems. Agents are oriented towards their goal by forces which are designed in analogy to smell distribution in nature. Successful agents can have mutated offspring. First, we explain our model and then we observe for different environments how the balance of deliberation and reactiveness evolves in our simulations. It can be seen that evolution adapts the planning behavior of agents successfully.

• 物性研究刊行会の論文
• 1997-08-20

著者

• Tani J

  Sony Computer Science Laboratory Inc. Takanawa Muse Building

• Tani Jun

  Sony Computer Science Laboratory Inc.

• 谷 淳

  Sony Csl

• Baczewski Joachim

  Department Of Administration Engineering Keio University

• Baczewski Joachim

  Department Of Administration Engineering Faculty Of Science And Technology Keio University

関連論文

• A Dynamical Systems Approach for Robot Learning Problem
• Dynamical Systems Approach in Learnable Autonomous Robots
• Evolving Planning Behaviors in an Artificial Ecosystem
• An Evolutionary Approach to Balancing Deliberation and Reactiveness in a Multi-Agent Scenario
• Planning in an Artificial Ecosystem
• Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO
• Embedding Symbolic Process into Deterministic Chaos

スポンサーリンク