Published February 4, 2013
| Version v1
Journal article
Dependency in Cooperative Boolean Games
Creators
Contributors
Others:
- Dipartimento di Scienze Fisiche [Naples] ; University of Naples Federico II = Università degli studi di Napoli Federico II
- Web-Instrumented Man-Machine Interactions, Communities and Semantics (WIMMICS) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS) ; Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
Description
Cooperative boolean games (CBG) are a family of coalitional games where agents may depend on each other for the satisfaction of their personal goals. In Dunne et al. (2008, Cooperative Boolean games. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 1015-1022), the authors define as solution concept the notion of core showing that several decision problems, such as core-emptiness, are Formula-complete. In this work, we investigate how to improve the computation of the core. In particular, we introduce two different types of dependence networks, abstract dependence networks and refined dependence networks, that are used to define the notion of stable coalitions and Δ-reduction, respectively. Stable coalitions enable to focus on a subset of the agents and use results to determinate the core of the whole game. Δ-reduction prunes the search space by returning a set of actions that are not admissible to be executed. We present an algorithm based on stable coalitions and a Δ-reduction implemented in Prolog and experimental results that show how they effectively improve the computation of the core.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/hal-00907869
- URN
- urn:oai:HAL:hal-00907869v1
Origin repository
- Origin repository
- UNICA