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A Weakest Pre-Expectation Semantics for Mixed-Sign Expectations

Kaminski, BL; Katoen, J-P; (2017) A Weakest Pre-Expectation Semantics for Mixed-Sign Expectations. In: Proceedings of the 32nd Annual ACM/IEEE Symposium on Logic in Computer Science (LICS). IEEE: Reykjavik, Iceland. Green open access

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Abstract

We present a weakest–precondition–style calculus for reasoning about the expected values (pre–expectations) of mixed–sign unbounded random variables after execution of a probabilistic program. The semantics of a while–loop is well– defined as the limit of iteratively applying a functional to a zero–element just as in the traditional weakest pre–expectation calculus, even though a standard least fixed point argument is not applicable in this context. A striking feature of our semantics is that it is always well–defined, even if the expected values do not exist. We show that the calculus is sound, allows for compositional reasoning, and present an invariant–based approach for reasoning about pre–expectations of loops.

Type: Proceedings paper
Title: A Weakest Pre-Expectation Semantics for Mixed-Sign Expectations
Event: 32nd Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)
Location: Reykjavik, IRELAND
Dates: 20 June 2017 - 23 June 2017
Open access status: An open access version is available from UCL Discovery
Publisher version: https://dl.acm.org/doi/10.5555/3329995.3330088
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Computer Science, Theory & Methods, Logic, Computer Science, Science & Technology - Other Topics, PROGRAMS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10089601
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