Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Games That Agents Play: A Formal Framework for Dialogues between Autonomous Agents
Journal of Logic, Language and Information
A Dialogue Game Protocol for Agent Purchase Negotiations
Autonomous Agents and Multi-Agent Systems
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Towards multi-agent electronic marketplaces: what is there and what is missing?
The Knowledge Engineering Review
Towards Genetically Optimised Responsive Negotiation Agents
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Acquiring domain knowledge for negotiating agents: a case of study
International Journal of Human-Computer Studies
Protocols for Negotiating Complex Contracts
IEEE Intelligent Systems
An expressive approach to fuzzy constraint based agent purchase negotiation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Searching for joint gains in automated negotiations based on multi-criteria decision making theory
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A multi-issue negotiation protocol among agents with nonlinear utility functions
Multiagent and Grid Systems - Negotiation and Scheduling Mechanisms for Multiagent Systems
The Agents' Attitudes in Fuzzy Constraint Based Automated Purchase Negotiations
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Effective bidding and deal identification for negotiations in highly nonlinear scenarios
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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Fuzzy constraints have been used in several automated multi-attribute negotiation models. It is recognized that fuzzy constraints represent an efficient way of capturing requirements and preferences, and an useful mechanism for representing trade-offs. Most approaches are mainly focused on using constraints as a framework for describing preferences, and few works focus on using them as an element in the communication process itself in order to elaborate efficient negotiation strategies. This paper proposes and evaluates a set of strategies for offer generation and for the construction of offer relaxation requests in constraint-based negotiation models. To deploy the strategies, a fuzzy constraint based model for non-mediated bilateral automated purchase negotiations has been used. Fuzzy constraints are used both to represent preferences and to express offers. A set of locutions and decision mechanisms which trigger them are fully specified, where each agent may decide its degree of cooperation and its degree of expressiveness. Expressiveness is based on the propagation of constraints and relaxation requests. The paper analyzes which combination of different agents' attitudes allow to improve the negotiation processes. Experimental evaluation confirms the advantage of an expressive approach based on the propagation of constraints. In addition, this paper studies how applying a clustering algorithm to the seller's catalogue of products instead of managing single products may contribute to an improvement in the duration of the negotiation dialogues, and to a significant improvement on the utility of the deals that are achieved. These results support the usefulness of the proposed negotiation strategies.