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Reasoning about Interest-Based Preferences

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Agents and Artificial Intelligence (ICAART 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 271))

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Abstract

In decision making, negotiation, and other kinds of practical reasoning, it is necessary to model preferences over possible outcomes. Such preferences usually depend on multiple criteria. We argue that the criteria by which outcomes are evaluated should be the satisfaction of a person’s underlying interests: the more an outcome satisfies his interests, the more preferred it is. Underlying interests can explain and eliminate conditional preferences. Also, modelling interests will create a better model of human preferences, and can lead to better, more creative deals in negotiation. We present an argumentation framework for reasoning about interest-based preferences. We take a qualitative approach and provide the means to derive both ceteris paribus and lexicographic preferences.

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Author information

Authors and Affiliations

  1. Man-Machine Interaction Group, Delft University of Technology, Delft, The Netherlands

    Wietske Visser, Koen V. Hindriks & Catholijn M. Jonker

Authors
  1. Wietske Visser
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  2. Koen V. Hindriks
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  3. Catholijn M. Jonker
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Editor information

Editors and Affiliations

  1. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  2. IST - Technical University of Lisbon, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

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Visser, W., Hindriks, K.V., Jonker, C.M. (2013). Reasoning about Interest-Based Preferences. In: Filipe, J., Fred, A. (eds) Agents and Artificial Intelligence. ICAART 2011. Communications in Computer and Information Science, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29966-7_8

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  • DOI: https://doi.org/10.1007/978-3-642-29966-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29965-0

  • Online ISBN: 978-3-642-29966-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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