Multiagent compromise via negotiation
Distributed Artificial Intelligence (Vol. 2)
Constraint-directed negotiation of resource reallocations
Distributed Artificial Intelligence (Vol. 2)
Fuzzy constraint processing
Entropy, distance measure and similarity measure of fuzzy sets and their relations
Fuzzy Sets and Systems
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Software agents
Readings in agents
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
A multi-attribute utility theoretic negotiation architecture for electronic commerce
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
A genetic agent-based negotiation system
Computer Networks: The International Journal of Computer and Telecommunications Networking
On Artificial Agents for Negotiation in Electronic Commerce
HICSS '96 Proceedings of the 29th Hawaii International Conference on System Sciences Volume 4: Organizational Systems and Technology
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
A fuzzy constraint-based agent negotiation with opponent learning
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Modeling opponent's beliefs via fuzzy constraint-directed approach in agent negotiation
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Modeling collaborative design via fuzzy constraint-based agent negotiation
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Agent Negotiation in Water Policy Planning
International Journal of Digital Library Systems
A new fuzzy negotiation protocol for grid resource allocation
Journal of Network and Computer Applications
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Conflicts between two or more parties arise for various reasons and perspectives. Thus, resolution of conflicts frequently relies on some form of negotiation. This paper presents a general problem-solving framework for modeling multi-issue multilateral negotiation using fuzzy constraints. Agent negotiation is formulated as a distributed fuzzy constraint satisfaction problem (DFCSP). Fuzzy constrains are thus used to naturally represent each agent's desires involving imprecision and human conceptualization, particularly when lexical imprecision and subjective matters are concerned. On the other hand, based on fuzzy constraint-based problem-solving, our approach enables an agent not only to systematically relax fuzzy constraints to generate a proposal, but also to employ fuzzy similarity to select the alternative that is subject to its acceptability by the opponents. This task of problem-solving is to reach an agreement that benefits all agents with a high satisfaction degree of fuzzy constraints, and move towards the deal more quickly since their search focuses only on the feasible solution space. An application to multilateral negotiation of a travel planning is provided to demonstrate the usefulness and effectiveness of our framework.