Coalition Structure Generation for Partition Function Games Utilizing a Concise Graphical Representation

Aolong Zha, Kazuki Nomoto, Suguru Ueda, Miyuki Koshimura, Yuko Sakurai, Makoto Yokoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Coalition Structure Generation (CSG), a main research issue in the domain of coalition games, involves partitioning agents into exhaustive and disjoint coalitions to optimize the social welfare. The advent of compact representation schemes, such as Partition Decision Trees (PDTs), promotes the efficiency of solving CSG problems. This paper studies the CSG problem for partition function games (PFGs) which are coalitional games with externalities. In PFGs, each value of a coalition depends on how the other agents are partitioned. We apply PDTs to represent PFGs and present two methods to solve CSG problems: a depth-first branch-and-bound algorithm and MaxSAT encoding.

Original languageEnglish
Title of host publicationPRIMA 2017
Subtitle of host publicationPrinciples and Practice of Multi-Agent Systems - 20th International Conference, Proceedings
EditorsAna Bazzan, Serena Villata, Bo An, Joao Leite, Leendert van der Torre
PublisherSpringer Verlag
Pages143-159
Number of pages17
ISBN (Print)9783319691305
DOIs
Publication statusPublished - Jan 1 2017
Event20th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2017 - Nice, France
Duration: Oct 30 2017Nov 3 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10621 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other20th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2017
CountryFrance
CityNice
Period10/30/1711/3/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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