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The Complexity of Finding an Optimal Policy for Language Convergence

  • Conference paper
From Animals to Animats 9 (SAB 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4095))

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Abstract

An important problem for societies of natural and artificial animals is to converge upon a similar language in order to communicate. We call this the language convergence problem. In this paper we study the complexity of finding the optimal (in terms of time to convergence) algorithm for language convergence. We map the language convergence problem to instances of a Decentralized Partially Observable Markov Decision Process to show that the complexity can vary from P-complete to NEXP-complete based on the scenario being studied.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Illinois, Urbana-Champaign

    Kiran Lakkaraju

  2. Graduate School of Library and Information Science, University of Illinois, Urbana-Champaign

    Les Gasser

Authors
  1. Kiran Lakkaraju
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  2. Les Gasser
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Editor information

Editors and Affiliations

  1. Institute of Cognitive Sciences and Technologies, LARRAL, Via S. Martino della Battaglia 44, 00185, Roma, Italy

    Stefano Nolfi

  2. Institute of Cognitive Science and Technology, (ISTC-CNR), Via San Martino della Battaglia 44, 00185, Rome, Italy

    Gianluca Baldassarre

  3. Institute of Cognitive Science and Technology, ISTC-CNR, Via S. Martino della Battaglia 44, 00185, Rome, Italy

    Raffaele Calabretta  & Davide Marocco  & 

  4. The Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark

    John C. T. Hallam

  5. UPMC Univ Paris 6, FRE2507, ISIR, F-75016, Paris, France

    Jean-Arcady Meyer

  6. Laboratory of Autonomous Robotics and Artificial Life, Institute of Cognitive, Sciences and Technologies, National Research Council, Rome, Italy

    Orazio Miglino

  7. Institute of Cognitive Sciences and Technologies, National Research Council, 44, Via San Martino della, 00185, Rome, Battaglia, Italy

    Domenico Parisi

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© 2006 Springer-Verlag Berlin Heidelberg

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Lakkaraju, K., Gasser, L. (2006). The Complexity of Finding an Optimal Policy for Language Convergence. In: Nolfi, S., et al. From Animals to Animats 9. SAB 2006. Lecture Notes in Computer Science(), vol 4095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840541_66

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  • DOI: https://doi.org/10.1007/11840541_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38608-7

  • Online ISBN: 978-3-540-38615-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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