---
title: "Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic"
authors:
  - "Sofie De Clercq"
  - "Steven Schockaert"
  - "Ann Nowé"
  - "Martine De Cock"
doi: ""
url: "https://ijcai.org/proceedings/2015/409"
pdf: "https://ijcai.org/proceedings/2015/0409.pdf"
venue: "Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence"
year: 2015
pages: "2890-2895"
track: "Special Track on Knowledge Representation and Reasoning"
keywords:
---

# Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic

Sofie De Clercq, Steven Schockaert, Ann Nowé, Martine De Cock

*Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence*, 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.