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Alternative Strategies for Contextual Reasoning with Conflicts in Ambient Computing

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Web Reasoning and Rule Systems (RR 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5341))

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Abstract

Reasoning in Ambient Computing environments requires formal models that represent ambient agents as autonomous logic-based entities, and support sharing and distributed reasoning with the available ambiguous context information. This paper presents an approach from the field of Multi-Context Systems that handles these requirements by modeling contexts as local rule theories in a P2P system and mappings through which the agents exchange context information as defeasible rules, and by performing some type of distributed defeasible reasoning.

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References

  1. McCarthy, J., Buvač, S.: Formalizing Context (Expanded Notes). In: Aliseda, A., van Glabbeek, R., Westerståhl, D. (eds.) Computing Natural Language, pp. 13–50. CSLI Publications, Stanford (1998)

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  2. Ghidini, C., Giunchiglia, F.: Local Models Semantics, or contextual reasoning=locality+compatibility. Artificial Intelligence 127(2), 221–259 (2001)

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  3. Brewka, G., Roelofsen, F., Serafini, L.: Contextual Default Reasoning. IJCAI, 268–273 (2007)

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© 2008 Springer-Verlag Berlin Heidelberg

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Bikakis, A., Antoniou, G. (2008). Alternative Strategies for Contextual Reasoning with Conflicts in Ambient Computing. In: Calvanese, D., Lausen, G. (eds) Web Reasoning and Rule Systems. RR 2008. Lecture Notes in Computer Science, vol 5341. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88737-9_21

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  • DOI: https://doi.org/10.1007/978-3-540-88737-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88736-2

  • Online ISBN: 978-3-540-88737-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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