Using two main arguments in agent negotiation

Authors:
Jinghua Wu;Guorui Jiang;Tiyun Huang
Affiliations:
Economics and Management School, Beijing University of Technology, Beijing, P.R. China;Economics and Management School, Beijing University of Technology, Beijing, P.R. China;Economics and Management School, Beijing University of Technology, Beijing, P.R. China
Venue:
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Year:
2006

Citing 5
Cited 0

Reaching agreements through argumentation: a logical model and implementation

Artificial Intelligence
Towards interest-based negotiation

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Argumentation-based negotiation

The Knowledge Engineering Review
Multi-agent reward analysis for learning in noisy domains

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Formal handling of threats and rewards in a negotiation dialogue

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

During agent negotiation, argumentation-based negotiation of agent has been widely studied for it can make agent who received the argument change its goals or preferences accordingly. Being the two main arguments, threat and reward can even make the negotiators reduce their behavior space to find a well compromise quickly in the end, which can make them accomplish their cooperation on the base of getting the most profit of each of them. This paper presents a type of formal models of threat and reward first, and then present a new way of how to calculate the negotiation strengths of them through simulated calculations based on the models to make the negotiators threatened or rewarded make a right choice and accomplish their cooperation well.