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Building an Epistemic Logic for Argumentation

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Logics in Artificial Intelligence (JELIA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7519))

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Abstract

In this paper, we study a multi-agent setting in which each agent is aware of a set of arguments. The agents can discuss and persuade each other by putting forward arguments and counter-arguments. In such a setting, what an agent will do, i.e. what argument she will utter, may depend on what she knows about the knowledge of other agents. For example, an agent does not want to put forward an argument that can easily be attacked, unless she believes that she is able to defend her argument against possible attackers. We propose a logical framework for reasoning about the sets of arguments owned by other agents, their knowledge about other agents’ arguments, etc. We do this by defining an epistemic logic for representing their knowledge, which allows us to express a wide range of scenarios.

SV was funded by the National Research Fund, Luxembourg. His work was carried out during the tenure of an ERCIM “Alain Bensoussan” Fellowship Programme. This Programme is supported by the Marie Curie Co-funding of Regional, National and International Programmes (COFUND) of the European Commission.

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© 2012 Springer-Verlag Berlin Heidelberg

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Schwarzentruber, F., Vesic, S., Rienstra, T. (2012). Building an Epistemic Logic for Argumentation. In: del Cerro, L.F., Herzig, A., Mengin, J. (eds) Logics in Artificial Intelligence. JELIA 2012. Lecture Notes in Computer Science(), vol 7519. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33353-8_28

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  • DOI: https://doi.org/10.1007/978-3-642-33353-8_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33352-1

  • Online ISBN: 978-3-642-33353-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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