eprintid: 271 rev_number: 7 eprint_status: archive userid: 32 dir: disk0/00/00/02/71 datestamp: 2011-05-23 14:22:04 lastmod: 2011-07-11 14:36:24 status_changed: 2011-05-23 14:22:04 type: book_section metadata_visibility: show item_issues_count: 0 creators_name: Bernardo, Marco creators_name: De Nicola, Rocco creators_name: Loreti, Michele creators_id: creators_id: r.denicola@imtlucca.it creators_id: title: Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes ispublished: pub subjects: QA75 divisions: CSA full_text_status: none abstract: Rate transition systems (RTS) are a special kind of transition systems introduced for defining the stochastic behavior of processes and for associating continuous-time Markov chains with process terms. The transition relation assigns to each process, for each action, the set of possible futures paired with a measure indicating the rates at which they are reached. RTS have been shown to be a uniform model for providing an operational semantics to many stochastic process algebras. In this paper, we define Uniform Labeled TRAnsition Systems (ULTraS) as a generalization of RTS that can be exploited to uniformly describe also nondeterministic and probabilistic variants of process algebras. We then present a general notion of behavioral relation for ULTraS that can be instantiated to capture bisimulation and trace equivalences for fully nondeterministic, fully probabilistic, and fully stochastic processes. date: 2010 date_type: published series: Lecture Notes in Computer Science volume: 6084 publisher: Springer pagerange: 35-56 id_number: 10.1007/978-3-642-15640-3_3 refereed: TRUE isbn: 978-3-642-15639-7 book_title: Trustworthly Global Computing (TGC 2010) editors_name: Wirsing, Martin editors_name: Hofmann, Martin editors_name: Rauschmayer, Axel official_url: http://dx.doi.org/10.1007/978-3-642-15640-3_3 citation: Bernardo, Marco and De Nicola, Rocco and Loreti, Michele Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes. In: Trustworthly Global Computing (TGC 2010). Lecture Notes in Computer Science, 6084 . Springer, pp. 35-56. ISBN 978-3-642-15639-7 (2010)