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          <dc:title>Contextual Behavioural Metrics</dc:title>
          <dc:creator>Dal Lago, Ugo</dc:creator>
          <dc:creator>Murgia, Maurizio</dc:creator>
          <dc:subject>Behavioural metrics</dc:subject>
          <dc:subject>Labelled Transition Systems</dc:subject>
          <dc:subject>Differential Semantics</dc:subject>
          <dc:description>We introduce contextual behavioural metrics (CBMs) as a novel way of measuring the discrepancy in behaviour between processes, taking into account both quantitative aspects and contextual information. This way, process distances by construction take the environment into account: two (non-equivalent) processes may still exhibit very similar behaviour in some contexts, e.g., when certain actions are never performed. We first show how CBMs capture many well-known notions of equivalence and metric, including Larsen’s environmental parametrized bisimulation. We then study compositional properties of CBMs with respect to some common process algebraic operators, namely prefixing, restriction, non-deterministic sum, parallel composition and replication.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ugo Dal Lago and Maurizio Murgia</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 279, 34th International Conference on Concurrency Theory (CONCUR 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CONCUR.2023.38</dc:identifier>
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          <dc:language>eng</dc:language>
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