@inproceedings{e57f0c0724804b33a6efb10fdcfa759d,
title = "An agent-based evolutionary robotic system for its reconfiguration",
abstract = "In this paper, the evolutionary algorithm is applied to generate the morphology and intelligence of an individual agent robot in the multi-agent robotic system. Each robot agent is given the functions emerges from intelligence and balance between morphology and intelligence from the other agent robot and task of following and contacting. Both of the morphology and intelligence are automatically generated and evolved by genetic programming for the task. Furthermore, we performed evolution simulation experiments, and discussed the symmetry properties.",
keywords = "Emergent gene, Multi-agent robot system, Robot agent, Symmetry properties",
author = "Xueshan Gao and Koki Kikuchi and Xiaobing Wu",
year = "2007",
doi = "10.1007/978-3-540-74827-4_72",
language = "English",
isbn = "9783540748267",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "571--580",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems",
edition = "PART 2",
note = "11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 ; Conference date: 12-09-2007 Through 14-09-2007",
}