@inproceedings{41fd9e619b774e01b93401db357f0f2e,
title = "Adaptive agent selection in large-scale multi-agent systems",
abstract = "An agent in a multi-agent system (MAS) has to select appropriate agents to assign tasks. Unfortunately no agent in an open environment can identify the states of all agents, so this selection must be done according to local information about the other known agents; however this information is limited and may contain uncertainty. In this paper we investigate how overall performance of MAS is affected by learning parameters for adaptive strategies to select partner agent for collaboration. We show experimental results using simulation and discuss why overall performance of MAS varies.",
author = "Toshiharu Sugawara and Kensuke Fukuda and Toshio Hirotsu and Sato, {Shin Ya} and Satoshi Kurihara",
year = "2006",
doi = "10.1007/11801603_87",
language = "English",
isbn = "3540366679",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "818--822",
booktitle = "PRICAI 2006",
note = "9th Pacific Rim International Conference on Artificial Intelligence ; Conference date: 07-08-2006 Through 11-08-2006",
}