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Incrementally Refined Acquaintance Model for Consortia Composition

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Cooperative Information Agents XII (CIA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5180))

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Abstract

This paper presents a specific contracting algorithm that contributes to the process of distributed planning and resource allocation in competitive, semi-trusted environments. The presented contraction algorithm is based on incrementally refined acquaintance models (IRAM) of the actor that provide the right set of approximate knowledge needed for appropriate task decomposition and delegation. This paper reports on empirical evaluation of the IRAM algorithm deployment in consortia formation domain.

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Matthias Klusch Michal Pěchouček Axel Polleres

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© 2008 Springer-Verlag Berlin Heidelberg

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Doubek, J., Vokřínek, J., Pěchouček, M., Rehák, M. (2008). Incrementally Refined Acquaintance Model for Consortia Composition. In: Klusch, M., Pěchouček, M., Polleres, A. (eds) Cooperative Information Agents XII. CIA 2008. Lecture Notes in Computer Science(), vol 5180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85834-8_22

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  • DOI: https://doi.org/10.1007/978-3-540-85834-8_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85833-1

  • Online ISBN: 978-3-540-85834-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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