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Continuous Previsions

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Computer Science Logic (CSL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4646))

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Abstract

We define strong monads of continuous (lower, upper) previsions, and of forks, modeling both probabilistic and non-deterministic choice. This is an elegant alternative to recent proposals by Mislove, Tix, Keimel, and Plotkin. We show that our monads are sound and complete, in the sense that they model exactly the interaction between probabilistic and (demonic, angelic, chaotic) choice.

Partially supported by the INRIA ARC ProNoBis. Part of Section  was done while the author was invited at U. Laval, Québec City, Québec, July 2004. We acknowledge their support.

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Jacques Duparc Thomas A. Henzinger

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Goubault-Larrecq, J. (2007). Continuous Previsions. In: Duparc, J., Henzinger, T.A. (eds) Computer Science Logic. CSL 2007. Lecture Notes in Computer Science, vol 4646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74915-8_40

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  • DOI: https://doi.org/10.1007/978-3-540-74915-8_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74914-1

  • Online ISBN: 978-3-540-74915-8

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