Adaptive multi-agent decision making using analytical hierarchy process

Juei Nan Chen, Yueh Min Huang, William C. Chu

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

In multi-agent decision-making problems, we should treat all the participating agents with no partiality. In this paper, we seek to elicit the cooperation level from each agent's inner world. This benefit would be gained by the reasonable preference values to each alternative in the viewpoint of the group. Besides, we propose a methodology to adapt group's preference functions. It can make all the participating agents have the chances to pick up the most favorite choice after several rounds of decision-making process.

原文English
主出版物標題AI 2002
主出版物子標題Advances in Artificial Intelligence - 15th Australian Joint Conference on Artificial Intelligence, Proceedings
編輯Bob McKay, John Slaney
發行者Springer Verlag
頁面203-212
頁數10
ISBN(列印)3540001972, 9783540001973
出版狀態Published - 2002
事件15th Australian Joint Conference on Artificial Intelligence, AI 2002 - Canberra, Australia
持續時間: 2002 十二月 22002 十二月 6

出版系列

名字Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2557
ISSN(列印)0302-9743

Other

Other15th Australian Joint Conference on Artificial Intelligence, AI 2002
國家Australia
城市Canberra
期間02-12-0202-12-06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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