Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Knowledge Representation and Reasoning. Pages 2890-2895.
Abstract
Boolean games are a game-theoretic framework in which propositional logic is used to describe agents’ goals. In this paper we investigate how agents in Boolean games can reach an efficient and fair outcome through a simple negotiation protocol. We are particularly interested in settings where agents only have incomplete knowledge about the preferences of others. After explaining how generalized possibilistic logic can be used to compactly encode such knowledge, we analyze how a lack of knowledge affects the agreement outcome. In particular, we show how knowledgeable agents can obtain a more desirable outcome than others.
@inproceedings{ijcai2015p409,
title = {Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic},
author = {De Clercq, Sofie and Schockaert, Steven and Nowé, Ann and De Cock, Martine},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {2890--2895},
year = {2015},
month = {7},
note = {Special Track on Knowledge Representation and Reasoning},
url = {https://ijcai.org/proceedings/2015/409},
}
TY - CPAPER TI - Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic AU - De Clercq, Sofie AU - Schockaert, Steven AU - Nowé, Ann AU - De Cock, Martine T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2890 EP - 2895 UR - https://ijcai.org/proceedings/2015/409 ER -Copied
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