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Probabilistic Perception Revision in AgentSpeak(L)

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PRIMA 2015: Principles and Practice of Multi-Agent Systems (PRIMA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9387))

Abstract

Agent programming is mostly a symbolic discipline and, as such, draws little benefits from probabilistic areas as machine learning and graphical models. However, the greatest objective of agent research is the achievement of autonomy in dynamical and complex environments — a goal that implies embracing uncertainty and therefore the entailed representations, algorithms and techniques. This paper proposes an innovative and conflict free two layer approach to agent programming that uses already established methods and tools from both symbolic and probabilistic artificial intelligence. Moreover, this method is illustrated by means of a widely used agent programming example, GoldMiners.

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Author information

Authors and Affiliations

  1. Departamento de Informática, Escola de Ciências e Tecnologia, Universidade de Évora, Alentejo, Portugal

    Francisco Coelho & Vitor Nogueira

Authors
  1. Francisco Coelho
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  2. Vitor Nogueira
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Corresponding author

Correspondence to Francisco Coelho .

Editor information

Editors and Affiliations

  1. Jinan University, Guangzhou, China

    Qingliang Chen

  2. Università di Bologna, Bologna, Italy

    Paolo Torroni

  3. Inria - Sophia Antipolis-Méditerran, Sophia Antipolis, France

    Serena Villata

  4. National Taiwan University, Taipei, Taiwan

    Jane Hsu

  5. Università di Bologna, Bologna, Italy

    Andrea Omicini

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© 2015 Springer International Publishing Switzerland

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Coelho, F., Nogueira, V. (2015). Probabilistic Perception Revision in AgentSpeak(L) . In: Chen, Q., Torroni, P., Villata, S., Hsu, J., Omicini, A. (eds) PRIMA 2015: Principles and Practice of Multi-Agent Systems. PRIMA 2015. Lecture Notes in Computer Science(), vol 9387. Springer, Cham. https://doi.org/10.1007/978-3-319-25524-8_44

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  • DOI: https://doi.org/10.1007/978-3-319-25524-8_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25523-1

  • Online ISBN: 978-3-319-25524-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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