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On the Use of Agreement Technologies for Multi-criteria Decision Making within a BDI Agent

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Advances in Artificial Intelligence -- IBERAMIA 2014 (IBERAMIA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8864))

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Abstract

The BDI model, as a practical reasoning architecture aims at making decisions about what to do based on cognitives notions as beliefs, desires and intentions. However, during the decision making process, BDI agents also have to make background decisions like choosing what intention to achieve next from a set of possibly conflicting desires; which plan to execute from the plans that satisfy a given intention; and whether it is necessary or not to reconsider current intentions. Likewise, agreement technologies have proven to be effective mechanisms to reach agreements between agents with different preferences, as well as to conciliate different criteria within a single agent. Therefore, in this work, we present an abstract framework which incorporates agreement technologies in decision processes within BDI agents. Besides, from the mechanisms belonging to the research field of agreement technologies, a voting-based approach is also proposed.

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Authors and Affiliations

  1. Laboratorio de Investigación y Desarrollo en Inteligencia Computacional Departamento de Informática, Universidad Nacional de San Luis, Ejército de los Andes 950, D5700HHW, San Luis, Argentina

    Cecilia Sosa Toranzo, Marcelo Errecalde & Edgardo Ferretti

Authors
  1. Cecilia Sosa Toranzo
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  2. Marcelo Errecalde
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  3. Edgardo Ferretti
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Corresponding author

Correspondence to Edgardo Ferretti .

Editor information

Editors and Affiliations

  1. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

    Ana L.C. Bazzan

  2. Pontifica Universidad Católica (PUC), Santiago de Chile, Chile

    Karim Pichara

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© 2014 Springer International Publishing Switzerland

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Toranzo, C.S., Errecalde, M., Ferretti, E. (2014). On the Use of Agreement Technologies for Multi-criteria Decision Making within a BDI Agent. In: Bazzan, A., Pichara, K. (eds) Advances in Artificial Intelligence -- IBERAMIA 2014. IBERAMIA 2014. Lecture Notes in Computer Science(), vol 8864. Springer, Cham. https://doi.org/10.1007/978-3-319-12027-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-12027-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12026-3

  • Online ISBN: 978-3-319-12027-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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