Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Computer-supported negotiations: an experimental study of bargaining in electronic commerce
ICIS '00 Proceedings of the twenty first international conference on Information systems
Learning on opponent's preferences to make effective multi-issue negotiation trade-offs
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
A Negotiation Meta Strategy Combining Trade-off and Concession Moves
Autonomous Agents and Multi-Agent Systems
A machine-learning approach to automated negotiation and prospects for electronic commerce
Journal of Management Information Systems - Special issue: Information technology and its organizational impact
Mining Trading Partners' Preferences for Efficient Multi-Issue Bargaining in E-Business
Journal of Management Information Systems
A multi-choice offer strategy for bilateral multi-issue negotiations using modified DWM learning
Proceedings of the 13th International Conference on Electronic Commerce
| Hi-index | 0.00 |
Automated negotiation based on software negotiation agents has attracted ever-growing interest within fields such as multi-agent systems, e-commerce, and web services. This paper presents a review framework that examines the key components, dynamics, and evaluation metrics necessitated in the design of an agent's negotiation strategy. Using this guiding framework we provide a review of studies that deal with the design and evaluation of agent negotiation strategies. The review suggests that while several important contributions have been made, there remain a number of important open issues. The paper is concluded with a discussion of opportunities and directions for future research.