Abstract
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.
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Notes
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Note that, as with most blocksworld encodings, the fluent \(in\_b1\_room\) is false whenever an agent is holding block b1.
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Acknowledgements
This research is partially funded by Australian Research Council Discovery Grant DP130102825, Foundations of Human-Agent Collaboration: Situation-Relevant Information Sharing.
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Muise, C., Dignum, F., Felli, P., Miller, T., Pearce, A.R., Sonenberg, L. (2016). Towards Team Formation via Automated Planning. In: Dignum, V., Noriega, P., Sensoy, M., Sichman, J. (eds) Coordination, Organizations, Institutions, and Norms in Agent Systems XI. COIN 2015. Lecture Notes in Computer Science(), vol 9628. Springer, Cham. https://doi.org/10.1007/978-3-319-42691-4_16
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