Evolution of communication through differentiation of communicative and goal-directed behaviors

Shibuya, Naohiro; Iizuka, Hiroyuki; Yamamoto, Masahito

Artificial life and robotics, 2018, 23(2), 225-234

Permalink : https://hdl.handle.net/2115/74522

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アクセス権
open access
URI
https://hdl.handle.net/2115/74522
タイトル
Evolution of communication through differentiation of communicative and goal-directed behaviors
著者
Shibuya, Naohiro ; Iizuka, Hiroyuki ; Yamamoto, Masahito
著者名
Shibuya, Naohiro
e-Rad_Researcher
30396832
著者名
Iizuka, Hiroyuki
e-Rad_Researcher
40292057
著者名
Yamamoto, Masahito
言語
英語
キーワード
Evolution of communication
Neural network
Genetic algorithm
Artificial life
発行日
2018-06
出版者
Springer
収録物名
Artificial life and robotics
巻(号)
23(2)
ページ
225-234
抄録
Many studies have focused on the evolution of communication in artificial life, often presupposing dedicated communication channels such as voices or pheromones. However, it is plausible that only behavior existed when communication began and that some behaviors gradually evolved as a mean of communication. A study by Quinn has shown that communication can evolve purely through the behavior for two agents in a simulated environment. We extend this study to a more complex communication using three agents. In the simulation, the agents are equipped with two wheels and eight IR sensors and are controlled by identical neural networks. This network evolved by applying a genetic algorithm to a single population. After evolution, the agents' behaviors had differentiated into communicative and goal-directed types. We analyze the differences between these two types of behavior quantitatively, and show that the evolved behaviors have communication properties such as mutuality, information flow, and invariance of the motion gain.
資源タイプ
学術雑誌論文
出版タイプ
Accepted Manuscript
権利情報
The final publication is available at Springer via https://doi.org/10.1007/s10015-017-0417-7
PISSN
1433-5298
関連情報 (isVersionOf)
出版社版DOI
https://doi.org/10.1007/s10015-017-0417-7