From axiomatic to strategic models of bargaining with logical beliefs and goals

Quoc Bao Vo, Minyi Li

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)


In this paper, we introduce axiomatic and strategic models for bargaining and investigate the link between the two. Bargaining situations are described in propositional logic while the agents’ preferences over the outcomes are expressed as ordinal preferences.Our main contribution is an axiomatic theory of bargaining. We propose a bargaining solution based on the well-known egalitarian social welfare for bargaining problems in which the agents’ logical beliefs specify their bottom lines. We prove that the proposed solution is uniquely identified by a set of axioms. We further present a model of bargaining based on argumentation frameworks with the view to develop a strategic model of bargaining using the concept of minimal concession strategy in argument-based negotiation frameworks.
Original languageEnglish
Title of host publicationAAMAS 2012
Subtitle of host publicationThe 11th International Conference on Autonomous Agents and Multiagent Systems: Proceedings Volume I
EditorsVincent Conitzer, Michael Winikoff, Lin Padgham, Wiebe van der Hoek
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Number of pages8
ISBN (Print)9780981738116, 0981738125
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference on Autonomous Agents and Multiagent Systems 2012 - Valencia, Spain
Duration: 4 Jun 20128 Jun 2012
Conference number: 11th (Proceedings)

Publication series

NameACM International Conference on Autonomous Agents and Multiagent Systems Proceedings
PublisherA C M Special Interest Group
ISSN (Electronic)1558-2914


ConferenceInternational Conference on Autonomous Agents and Multiagent Systems 2012
Abbreviated titleAAMAS 2012
Internet address


  • Bargaining and negotiation
  • Collective decision making
  • Judgment aggregation and belief merging

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