Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
From logic programming towards multi-agent systems
Annals of Mathematics and Artificial Intelligence
Dialogues for Negotiation: Agent Varieties and Dialogue Sequences
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Argumentation: planning other agents' plans
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
An Abductive Logic Programming Architecture for Negotiating Agents
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Argumentation-based negotiation
The Knowledge Engineering Review
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[13] presents a logic-based approach to multi-agent negotiation. The advantages of such approach stem from the declarativeness of the model, which allows to formulate and prove some interesting properties (such as termination and convergence of a protocol), to the possibility of identifying and combining varieties of agents, implementing different negotiation policies, and of forecasting the behavior of a system with no need for simulation. The work introduces a language for negotiation that allows to cater for two agent dialogues, in a oneto-one negotiation setting. Auctions are an example of one-to-many negotiation mechanisms, where agents try to maximize their profit by buying items in competition with other parties, or selling them to crowds of bidders. In this paper, we show how the negotiation framework of [13] can be extended to accommodate a suitable negotiation language and coordination mechanism (in the form of a shared blackboard) to tackle one-to-many negotiation.