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IJCAI 2003

Constructing utility models from observed negotiation actions

Conference Paper KNOWLEDGE REPRESENTATION Artificial Intelligence

Abstract

We propose a novel method for constructing utility models by learning from observed negotiation actions. In particular, we show how offers and counter-offers in negotiation can be transformed into gamble questions providing the basis for eliciting utility functions. Results of experiments and evaluation are briefly described.

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Keywords

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
271497223337883583
v2026.09.13