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Link to original content: https://doi.org/10.1007/978-3-642-21043-3_13
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Answer Set Programming for Stream Reasoning

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Advances in Artificial Intelligence (Canadian AI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6657))

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Abstract

This paper explores Answer Set Programming (ASP) for stream reasoning with data retrieved continuously from sensors. We describe a proof-of-concept with an example of using declarative models to recognize car on-road situations.

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References

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Do, T.M., Loke, S.W., Liu, F. (2011). Answer Set Programming for Stream Reasoning. In: Butz, C., Lingras, P. (eds) Advances in Artificial Intelligence. Canadian AI 2011. Lecture Notes in Computer Science(), vol 6657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21043-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-21043-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21042-6

  • Online ISBN: 978-3-642-21043-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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