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Continuous Temporal Models

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AI 2001: Advances in Artificial Intelligence (AI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2256))

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Abstract

We develop notation for describing a temporal structure over the real numbers flow of time. This forms a basis for various reasoning tasks including synthesizing a model from a given temporal or first-order specification. We announce an efficient procedure for finding a manageable description of such a model. There are applications in reasoning about multi-agent systems, understanding natural language, analogue devices, robotics and artificial reasoning.

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Reynolds, M. (2001). Continuous Temporal Models. In: Stumptner, M., Corbett, D., Brooks, M. (eds) AI 2001: Advances in Artificial Intelligence. AI 2001. Lecture Notes in Computer Science(), vol 2256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45656-2_36

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  • DOI: https://doi.org/10.1007/3-540-45656-2_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42960-9

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