Towards team formation via automated planning

Christian Muise*, Frank Dignum, Paolo Felli, Tim Miller, Adrian R. Pearce, Liz Sonenberg

*Corresponding author for this work

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


Cooperative problem solving involves four key phases: (1) finding potential members to form a team, (2) forming the team, (3) formulating a plan for the team, and (4) executing the plan. We extend recent work on multi-agent epistemic planning and apply it to the problem of team formation in a blocksworld scenario. We provide an encoding of the first three phases of team formation from the perspective of an initiator, and show how automated planning efficiently yields conditional plans that guarantee certain collective intentions will be achieved. The expressiveness of the epistemic planning formalism, which supports modelling with the nested beliefs of agents, opens the prospect of broad applicability to the operationalisation of collective intention.

Original languageEnglish
Title of host publicationCoordination, Organizations, Institutions, and Normes in Agent Systems XI - COIN 2015 International Workshops COIN@AAMAS, Revised Selected Papers
Number of pages18
ISBN (Print)9783319426907
Publication statusPublished - 2016
EventInternational Conference on Coordination, Organisations, Institutions and Norms in Agent Systems, 2015 - Istanbul, Turkey
Duration: 4 May 20154 May 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


ConferenceInternational Conference on Coordination, Organisations, Institutions and Norms in Agent Systems, 2015


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