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Representing Excuses in Social Dependence Networks

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AI*IA 2009: Emergent Perspectives in Artificial Intelligence (AI*IA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5883))

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Abstract

In this paper, we propose a representation of excuses in the context of multiagent systems. We distinguish five classes of excuses, taking as starting point both jurisprudential and philosophical studies about this topic, and we discuss their acceptance criteria. We highlight the following classes of excuses: epistemic excuses, power-based excuses, norm-based excuses, counts as-based excuses and social-based excuses and we represent them using social dependence networks. The acceptance criteria individuate those excuses which success in maintaining the trust of the other agents, e.g. in the context of social networks, excuses based on norms seem better than counts as-based ones in achieving this aim.

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© 2009 Springer-Verlag Berlin Heidelberg

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Boella, G., Broersen, J., van der Torre, L., Villata, S. (2009). Representing Excuses in Social Dependence Networks. In: Serra, R., Cucchiara, R. (eds) AI*IA 2009: Emergent Perspectives in Artificial Intelligence. AI*IA 2009. Lecture Notes in Computer Science(), vol 5883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10291-2_37

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  • DOI: https://doi.org/10.1007/978-3-642-10291-2_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10290-5

  • Online ISBN: 978-3-642-10291-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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