Balancing Utility and Deal Probability for Auction-Based Negotiations in Highly Nonlinear Utility Spaces
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 214-218.
Abstract
Negotiation scenarios involving nonlinear utility functions are specially challenging, because traditional negotiation mechanisms cannot be applied. Even mechanisms designed and proven useful for nonlinear utility spaces may fail if the utility space is highly nonlinear. For example, although both contract sampling and constraint sampling have been successfully used in auction based negotiations with constraint-based utility spaces, they tend to fail in highly nonlinear utility scenarios. In this paper, we will show that the performance of these approaches decrease drastically in highly nonlinear utility scenarios, and propose a mechanism which balances utility and deal probability for the bidding and deal identification processes. The experiments show that the proposed mechanisms yield better results than the previous approaches in highly nonlinear negotiation scenarios.Ivan Marsa-Maestre, Miguel A. Lopez-Carmona, Juan R. Velasco, Takayuki Ito, Mark Klein, Katsuhide Fujita
@inproceedings{ijcai2009p45,
title = {Balancing Utility and Deal Probability for Auction-Based Negotiations in Highly Nonlinear Utility Spaces},
author = {Marsá-Maestre, Ivan and López-Carmona, Miguel A. and Velasco, Juan R. and Ito, Takayuki and Klein, Mark and Fujita, Katsuhide},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {214--218},
year = {2009},
url = {https://ijcai.org/proceedings/2009/45},
}
TY - CPAPER TI - Balancing Utility and Deal Probability for Auction-Based Negotiations in Highly Nonlinear Utility Spaces AU - Marsá-Maestre, Ivan AU - López-Carmona, Miguel A. AU - Velasco, Juan R. AU - Ito, Takayuki AU - Klein, Mark AU - Fujita, Katsuhide T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 214 EP - 218 UR - https://ijcai.org/proceedings/2009/45 ER -Copied
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