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
Argumentation-based negotiation
The Knowledge Engineering Review
Towards a formal framework for the search of a consensus between autonomous agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Adaptive agent negotiation via argumentation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A unified and general framework for argumentation-based negotiation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Dialogues that account for different perspectives in collaborative argumentation
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
On the benefits of exploiting underlying goals in argument-based negotiation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Hi-index | 0.00 |
This paper presents an argumentative version of the well known alternating offers negotiation protocol. The negotiation mechanism is based on an abstract preference based argumentation framework where both epistemic and practical arguments are taken into consideration in order to decide about different strategic issues. Such issues are the offer that is proposed at each round, acceptance or refusal of an offer, concession or withdrawal from the negotiation. The argumentation framework shows clearly how offers are linked to practical arguments that support them, as well as how the latter are influenced by epistemic arguments. Moreover it illustrates how agents' argumentative theories evolution, due to the exchange of arguments, influences the negotiation outcome. Finally, a generic algorithm that implements a concession based negotiation strategy is presented.