NDLI: Agent negotiation as fuzzy constraint processing

Content Provider	IEEE Xplore Digital Library
Author	Lai, R. Menq-Wen Lin
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Eng. & Sci., Yuan Ze Univ., Chung-li, Taiwan (Lai, R.; Menq-Wen Lin)
Abstract	This paper presents a general problem-solving framework for the modeling of agent negotiation via fuzzy constraint processing. In this approach, fuzzy constraint processing serves to improve the agent's individual negotiation strategy, and also to represent the agent negotiation mechanism and interaction framework for multi-objective agent negotiation. We formulate agent negotiation as a distributed fuzzy constraint satisfaction problem (DFCSP). Fuzzy constraints, in this way, can be used not only to define the needs of agents together with their priorities, urgency, and preferences, but also the similarity between the offers and counter-offers. On the other hand, basing on fuzzy constraint-based problem-solving, we propose concession strategy for fuzzy constraint relaxation, and trade-off strategy for modifying the current solution. The purpose is to generate an acceptable solution with a maximal satisfaction degree. Additionally, we also define a state transition function which specifies the operational semantics for representing the temporally changing states and agent interaction. To demonstrate the effectiveness of this approach, an example of badge-trading is provided.
Sponsorship	IEEE IEEE Neural Networks Soc
Starting Page	1021
Ending Page	1026
File Size	723587
Page Count	6
File Format	PDF
ISBN	0780372808
DOI	10.1109/FUZZ.2002.1006644
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Problem-solving Game theory Internet Intelligent agent Software agents Character recognition Mathematical model Artificial intelligence
Content Type	Text
Resource Type	Article

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