{"id":148014,"date":"2009-01-01T00:00:00","date_gmt":"2009-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/an-abstract-machine-for-the-stochastic-bioambient-calculus\/"},"modified":"2018-10-16T20:00:41","modified_gmt":"2018-10-17T03:00:41","slug":"an-abstract-machine-for-the-stochastic-bioambient-calculus","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/an-abstract-machine-for-the-stochastic-bioambient-calculus\/","title":{"rendered":"An Abstract Machine for the Stochastic Bioambient Calculus"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper presents an abstract machine for the stochastic bioambient calculus. The abstract machine is proved sound and complete with respect to a novel stochastic semantics, and is also shown to preserve the reduction probabilities of the calculus. The machine is implemented as an extension to an existing simulator for stochastic pi-calculus.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents an abstract machine for the stochastic bioambient calculus. The abstract machine is proved sound and complete with respect to a novel stochastic semantics, and is also shown to preserve the reduction probabilities of the calculus. 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