Enabling Integrative Negotiations by Adaptive Software Agents
CIA '99 Proceedings of the Third International Workshop on Cooperative Information Agents III
Optimal Negotiation Strategies for Agents with Incomplete Information
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
AutONA: a system for automated multiple 1-1 negotiation
Proceedings of the 4th ACM conference on Electronic commerce
Optimal agendas for multi-issue negotiation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Argumentation-based negotiation
The Knowledge Engineering Review
Protocols for Negotiating Complex Contracts
IEEE Intelligent Systems
Computational-Mechanism Design: A Call to Arms
IEEE Intelligent Systems
An agent architecture for multi-attribute negotiation
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Modeling complex multi-issue negotiations using utility graphs
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A decentralized model for multi-attribute negotiations
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Strategy Acquisition of Agents in Multi-Issue Negotiation
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
An agent architecture for multi-attribute negotiation using incomplete preference information
Autonomous Agents and Multi-Agent Systems
Multiagent and Grid Systems - Negotiation and Scheduling Mechanisms for Multiagent Systems
A multi-issue negotiation protocol among agents with nonlinear utility functions
Multiagent and Grid Systems - Negotiation and Scheduling Mechanisms for Multiagent Systems
Automated formal analysis of human multi-issue negotiation processes
Multiagent and Grid Systems
Expert Systems with Applications: An International Journal
Improving Trade-Offs in Bilateral Negotiations under Complete and Incomplete Information Settings
PRIMA '08 Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems
Acquisition of a concession strategy in multi-issue negotiation
Web Intelligence and Agent Systems
Improving trade-offs in automated bilateral negotiations for expressive and inexpressive scenarios
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Knowledge integration and management in autonomous systems
A fast method for learning non-linear preferences online using anonymous negotiation data
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
Strategy acquisition on multi-issue negotiation without estimating opponent's preference
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Analyzing intra-team strategies for agent-based negotiation teams
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Interest based negotiation automation
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Information Sciences: an International Journal
From problems to protocols: Towards a negotiation handbook
Decision Support Systems
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This paper presents a model for integrative, one-to-one negotiation in which the values across multiple attributes are negotiated simultaneously. We model a mechanism in which agents are able to use any amount of incomplete preference information revealed by the negotiation partner in order to improve the efficiency of the reached agreements. Moreover, we show that the outcome of such a negotiation can be further improved by incorporating a "guessing" heuristic, by which an agent uses the history of the opponent's bids to predict his preferences. Experimental evaluation shows that the combination of these two strategies leads to agreement points close to or on the Pareto-efficient frontier. The main original contribution of this paper is that it shows that it is possible for parties in a cooperative negotiation to reveal only a limited amount of preference information to each other, but still obtain significant joint gains in the outcome.