Learning on opponent's preferences to make effective multi-issue negotiation trade-offs
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Modeling complex multi-issue negotiations using utility graphs
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Adaptive Negotiation with On-Line Prediction of Opponent Behaviour in Agent-Based Negotiations
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Approximate and online multi-issue negotiation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Empirical game-theoretic analysis of the TAC Supply Chain game
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Opponent modelling in automated multi-issue negotiation using Bayesian learning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Genius: negotiation environment for heterogeneous agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Searching for pure strategy equilibria in bilateral bargaining with one-sided uncertainty
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Towards a quantitative concession-based classification method of negotiation strategies
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
A novel strategy for efficient negotiation in complex environments
MATES'12 Proceedings of the 10th German conference on Multiagent System Technologies
Optimizing complex automated negotiation using sparse pseudo-input gaussian processes
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Accepting optimally in automated negotiation with incomplete information
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
An efficient automated negotiation strategy for complex environments
Engineering Applications of Artificial Intelligence
Tasks for agent-based negotiation teams: Analysis, review, and challenges
Engineering Applications of Artificial Intelligence
Conditional restricted Boltzmann machines for negotiations in highly competitive and complex domains
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
An intelligent negotiator agent design for bilateral contracts of electrical energy
Expert Systems with Applications: An International Journal
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In multi-issue automated negotiation against unknown opponents, a key part of effective negotiation is the choice of concession strategy. In this paper, we develop a principled concession strategy, based on Gaussian processes predicting the opponent's future behaviour. We then use this to set the agent's concession rate dynamically during a single negotiation session. We analyse the performance of our strategy and show that it outperforms the state-of-the-art negotiating agents from the 2010 Automated Negotiating Agents Competition, in both a tournament setting and in self-play, across a variety of negotiation domains.