Abstract
This paper proposes a general multi-agent architecture for intelligent decision support system (MAIDSS). In this architecture, there are three types of agents: interface agents, task agents and information agents. In order to solve complex problem multiple agents are divided into several teams, each team is made of some agents and takes charge of one sub-problem. Each agent in a team embodies its own algorithm for creating a solution, and one agent may modify the solutions of the other agents by means of negotiating. Humans may also participate as agents in the process of decision-making.
Original language | English |
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Title of host publication | NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings |
Editors | Chengqing Zong |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 198-202 |
Number of pages | 5 |
ISBN (Electronic) | 0780379020, 9780780379022 |
DOIs | |
Publication status | Published - 2003 |
Event | International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003 - Beijing, China Duration: 26 Oct 2003 → 29 Oct 2003 |
Publication series
Name | NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings |
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Conference
Conference | International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003 |
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Country/Territory | China |
City | Beijing |
Period | 26/10/03 → 29/10/03 |
Keywords
- Decision-support
- Multi-agent
- Negotiation
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Liu, Q. X., Liu, Y. S., & Zheng, J. J. (2003). Multi-agent based IDSS architecture and negotiation mechanism. In C. Zong (Ed.), NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings (pp. 198-202). Article 1275894 (NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NLPKE.2003.1275894