Knowledge-based acquisition of tradeoff preferences for negotiating agents
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
Intelligent Agents on the Web: A Review
Computing in Science and Engineering
International Journal of Human-Computer Studies
Ontologies for supporting negotiation in e-commerce
Engineering Applications of Artificial Intelligence
Learning user preferences for multi-attribute negotiation: an evolutionary approach
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
KEMNAD: A Knowledge Engineering Methodology For Negotiating Agent Development
Computational Intelligence
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Knowledge about conflict styles and time pressure during a negotiation are important factors in a negotiation. This knowledge is used to model an agent-based assistant for e-negotiations. The idea of the proposed method is to model a utility concession function depending on the conflict style behaviour of a negotiator. Negotiators, prior to engage in e-negotiations, are asked to fill in a questionnaire designed to measure the conflict mode and specify their reservation levels. The agent-based assistant uses reservation levels and a concession-making model to propose the concession and timing of offers and attributes e.g. in a multiattribute negotiation. The concession-making model is constructed in the utility space and it is constructed using the Thomas-Kilmann Conflict Mode Instrument and negotiation data from an experiment conducted by human negotiators.