Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Prioritized logic programming and its application to commonsense reasoning
Artificial Intelligence
An Abductive Logic Programming Architecture for Negotiating Agents
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Bargaining with incomplete information
Annals of Mathematics and Artificial Intelligence
Negotiation by abduction and relaxation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Incomplete information and deception in multi-agent negotiation
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Negotiation using logic programming with consistency restoring rules
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Combining answer set programming and prolog: the ASP-PROLOG system
Logic programming, knowledge representation, and nonmonotonic reasoning
A logical formulation for negotiation among dishonest agents
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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This paper describes a platform to develop negotiating agents, whose knowledge and rules of behavior are represented as Abductive Logic Programs. The platform implements a flexible negotiation framework. Negotiating agents can operate with multiple goals and incomplete knowledge, and dynamically modify their goals depending on the progress of the negotiation exchanges. Differently from other frameworks, agents can operate dishonestly, by generating false statements or statements that are not substantiated by the agents' knowledge. The proposed platform has been implemented using the ASP-Prolog platform.