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Coordination with Collective and Individual Decisions

  • Paulo Trigo
  • Anders Jonsson
  • Helder Coelho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4140)

Abstract

The response to a large-scale disaster, e.g. an earthquake or a terrorist incident, urges for low-cost policies that coordinate sequential decisions of multiple agents. Decisions range from collective (common good) to individual (self-interested) perspectives, intuitively shaping a two-layer decision model. However, current decision theoretic models are either purely collective or purely individual and seek optimal policies. We present a two-layer, collective versus individual (CvI) decision model and explore the tradeoff between cost reduction and loss of optimality while learning coordination skills. Experiments, in a partially observable domain, test our approach for learning a collective policy and results show near-optimal policies that exhibit coordinated behavior.

Keywords

Multiagent System Markov Decision Process Coordination Policy Individual Policy Temporal Abstraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Paulo Trigo
    • 1
  • Anders Jonsson
    • 2
  • Helder Coelho
    • 3
  1. 1.Dep. Eng. Elect. Telec. e Comp. at Instituto Superior de Engenharia de LisboaPortugal
  2. 2.Departamento de Tecnología at Universidad Pompeu FabraBarcelonaSpain
  3. 3.Departamento de Informática at Faculdade de CiênciasUniversidade de LisboaPortugal

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