Determining Successful Negotiation Strategies: An Evolutionary Approach
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Modelling partner’s behaviour in agent negotiation
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
On possibilistic case-based reasoning for selecting partners in multi-agent negotiation
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Knowledge discovery for adaptive negotiation agents in e-marketplaces
Decision Support Systems
Detecting Unsuccessful Automated Negotiation Threads When Opponents Employ Hybrid Strategies
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Agent Enabled Adaptive Management of QoS Assured Provision of Composite Services
Cybernetics and Systems
Pairwise issue modeling for negotiation counteroffer prediction using neural networks
Decision Support Systems
Using Gaussian processes to optimise concession in complex negotiations against unknown opponents
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
A utility concession curve data fitting model for quantitative analysis of negotiation styles
Expert Systems with Applications: An International Journal
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We propose an adaptive approach in agent-based negotiation involving on-line prediction of the opponent behaviour based on the parametric non-linear regression analysis. The predictive decision-making mechanism for the negotiation agent is based on the history of offers in the current negotiation encounter. In comparison to the related work the proposed approach allows the negotiation agents to predict more complex behaviour of the negotiation opponent in terms of mixture of its time-dependant and behaviour-dependant tactics. We perform experiments in order to validate the proposed approach. The results show that the predictive decision-making gives better results in terms of the utility gains for the adaptive negotiation agent as compared with a range of non-predictive negotiation strategies.