Affiliation:
1. York University, Toronto, Canada
Abstract
In a recent column, Panangaden discusses probabilistic bisimilarity. Here, we show how probabilistic bisimilarity can be quantitatively generalized leading to probabilistic bisimilarity distances.
Publisher
Association for Computing Machinery (ACM)
Cited by
6 articles.
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