Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
A Comparative Study of Game Theoretic and Evolutionary Models of Bargaining for Software Agents
Artificial Intelligence Review
A negotiation model for autonomous computational agents: Formal description and empirical evaluation
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - IBERAMIA '02
Mind and heart of the negotiator, second edition, the
Mind and heart of the negotiator, second edition, the
Towards an Interdisciplinary Framework for Automated Negotiation
EC-Web '08 Proceedings of the 9th international conference on E-Commerce and Web Technologies
Negotiation among autonomous computational agents: principles, analysis and challenges
Artificial Intelligence Review
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Negotiation is an important and pervasive form of social interaction. The task of designing and implementing autonomous agents with negotiation competence is usually understood as involving the consideration of insights from multiple relevant research areas to integrate different perspectives on negotiation. Hence, this paper uses both game-theoretic techniques and methods from the social sciences as a basis to develop autonomous negotiating agents. It employs game-theoretic techniques to define equilibrium strategies for the bargaining game of alternating offers, and formalizes a set of negotiation strategies and tactics studied in the social sciences and frequently used by human negotiators. This paper also lays the foundation for performing an experiment to investigate the behaviour of autonomous agents equipped with the strategies, paying particular attention to the quality and the cost of bargaining.