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Multi-Agent Knowledge Allocation

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Book cover Research and Development in Intelligent Systems XXIX (SGAI 2012)

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Abstract

Classical query answering either assumes the existence of just one knowledge requester, or knowledge requests from distinct parties are treated independently. Yet, this assumption is inappropriate in practical applications where requesters are in direct competition for knowledge. We provide a formal model for such scenarios by proposing the Multi-Agent Knowledge Allocation (MAKA) setting which combines the fields of query answering in information systems and multi-agent resource allocation.We define a bidding language based on exclusivityannotated conjunctive queries and succinctly translate the allocation problem into a graph structure which allows for employing network-flow-based constraint solving techniques for optimal allocation.

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Author information

Authors and Affiliations

  1. KSRI/AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany

    Sebastian Rudolph

  2. LIRMM, Montpellier, France

    Madalina Croitoru

Authors
  1. Sebastian Rudolph
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  2. Madalina Croitoru
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Corresponding author

Correspondence to Sebastian Rudolph .

Editor information

Editors and Affiliations

  1. School of Computing, University of Portsmouth, Whitepost Lane The Lilacs, Portsmouth, PO1 3AH, Hampshire, United Kingdom

    Max Bramer

  2. School of Computing, Engineering & Mathe, University of Brighton, Lewes Road, Brighton, BN2 4GJ, West Sussex, United Kingdom

    Miltos Petridis

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© 2012 Springer-Verlag London

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Rudolph, S., Croitoru, M. (2012). Multi-Agent Knowledge Allocation. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXIX. SGAI 2012. Springer, London. https://doi.org/10.1007/978-1-4471-4739-8_12

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  • DOI: https://doi.org/10.1007/978-1-4471-4739-8_12

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4738-1

  • Online ISBN: 978-1-4471-4739-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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