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Preferring and Updating in Logic-Based Agents

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Web Knowledge Management and Decision Support (INAP 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2543))

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Abstract

We present a logical framework and the declarative semantics of a multi-agent system in which each agent can communicate with and update other agents, can update its knowledge state, of its own initiative or when it receives new incoming information, and it is able to prefer beliefs and reactions, when several alternatives are possible. The knowledge state of an agent is represented by an updatable prioritized logic program, in which priorities among rules can be expressed to allow the agent to prefer, and where the preference relation itself can be updated as well. An example is developed to illustrate how our approach works, including how preferring can enhance reactivity in agents. Finally, we discuss some Web applications where our approach can have a significant potential to contribute, and refer to the work of others.

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References

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Author information

Authors and Affiliations

  1. Department of Science and Technology - ITN,Campus Norrköping, Linköping University, Norrköping, Sweden

    Pierangelo Dell’Acqua

  2. Centro de Inteligěncia Artificial — CENTRIA,Departamento de Informática, Faculdade de Ciěncias e Tecnologia, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    Pierangelo Dell’Acqua & Luís Moniz Pereira

Authors
  1. Pierangelo Dell’Acqua
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  2. Luís Moniz Pereira
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Editor information

Editors and Affiliations

  1. IF Computer Japan, 5-28-2 Sendagi, Bunkyo-ku, 113-0022, Tokyo, Japan

    Oskar Bartenstein

  2. Fraunhofer FIRST, Kekulé 7, 12489, Berlin, Germany

    Ulrich Geske

  3. think-cell Software GmbH, Invalidenstraße 34, 10115, Berlin, Germany

    Markus Hannebauer

  4. Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka, Japan

    Osamu Yoshie

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© 2003 Springer-Verlag Berlin Heidelberg

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Dell’Acqua, P., Moniz Pereira, L. (2003). Preferring and Updating in Logic-Based Agents. In: Bartenstein, O., Geske, U., Hannebauer, M., Yoshie, O. (eds) Web Knowledge Management and Decision Support. INAP 2001. Lecture Notes in Computer Science(), vol 2543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36524-9_7

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  • DOI: https://doi.org/10.1007/3-540-36524-9_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00680-0

  • Online ISBN: 978-3-540-36524-2

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