Refinement for Probabilistic Systems with Nondeterminism
Before we combine actions and probabilities two very obvious questions should be asked. Firstly, what does "the probability of an action" mean? Secondly, how does probability interact with nondeterminism? Neither question has a single universally agreed upon answer but by considering these...
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doaj-5123a08c98f543b48031442c95b1d33a2020-11-25T00:54:29ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802011-06-0155Proc. Refine 20118410010.4204/EPTCS.55.6Refinement for Probabilistic Systems with NondeterminismDavid StreaderSteve ReevesBefore we combine actions and probabilities two very obvious questions should be asked. Firstly, what does "the probability of an action" mean? Secondly, how does probability interact with nondeterminism? Neither question has a single universally agreed upon answer but by considering these questions at the outset we build a novel and hopefully intuitive probabilistic event-based formalism. In previous work we have characterised refinement via the notion of testing. Basically, if one system passes all the tests that another system passes (and maybe more) we say the first system is a refinement of the second. This is, in our view, an important way of characterising refinement, via the question "what sort of refinement should I be using?" We use testing in this paper as the basis for our refinement. We develop tests for probabilistic systems by analogy with the tests developed for non-probabilistic systems. We make sure that our probabilistic tests, when performed on non-probabilistic automata, give us refinement relations which agree with for those non-probabilistic automata. We formalise this property as a vertical refinement. http://arxiv.org/pdf/1106.4095v1 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David Streader Steve Reeves |
spellingShingle |
David Streader Steve Reeves Refinement for Probabilistic Systems with Nondeterminism Electronic Proceedings in Theoretical Computer Science |
author_facet |
David Streader Steve Reeves |
author_sort |
David Streader |
title |
Refinement for Probabilistic Systems with Nondeterminism |
title_short |
Refinement for Probabilistic Systems with Nondeterminism |
title_full |
Refinement for Probabilistic Systems with Nondeterminism |
title_fullStr |
Refinement for Probabilistic Systems with Nondeterminism |
title_full_unstemmed |
Refinement for Probabilistic Systems with Nondeterminism |
title_sort |
refinement for probabilistic systems with nondeterminism |
publisher |
Open Publishing Association |
series |
Electronic Proceedings in Theoretical Computer Science |
issn |
2075-2180 |
publishDate |
2011-06-01 |
description |
Before we combine actions and probabilities two very obvious questions should be asked. Firstly, what does "the probability of an action" mean? Secondly, how does probability interact with nondeterminism? Neither question has a single universally agreed upon answer but by considering these questions at the outset we build a novel and hopefully intuitive probabilistic event-based formalism. In previous work we have characterised refinement via the notion of testing. Basically, if one system passes all the tests that another system passes (and maybe more) we say the first system is a refinement of the second. This is, in our view, an important way of characterising refinement, via the question "what sort of refinement should I be using?" We use testing in this paper as the basis for our refinement. We develop tests for probabilistic systems by analogy with the tests developed for non-probabilistic systems. We make sure that our probabilistic tests, when performed on non-probabilistic automata, give us refinement relations which agree with for those non-probabilistic automata. We formalise this property as a vertical refinement. |
url |
http://arxiv.org/pdf/1106.4095v1 |
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AT davidstreader refinementforprobabilisticsystemswithnondeterminism AT stevereeves refinementforprobabilisticsystemswithnondeterminism |
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