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Linear and Branching System Metrics
by
de Alfaro, L.
, Faella, M.
, Stoelinga, M.
in
Algorithms
/ Asymmetry
/ Automata
/ Behavior
/ Boolean
/ Boolean algebra
/ Clocks
/ Computational modeling
/ Computer simulation
/ Cost accounting
/ Digital audio players
/ Digital Object Identifier
/ Extraterrestrial measurements
/ Formal languages
/ Inclusions
/ Logic
/ Logics of programs
/ Mathematical analysis
/ Metric space
/ Modal logic
/ Reasoning about programs
/ Simulation
/ Software
/ Software engineering
/ Software tools
/ Specification techniques
/ Valuation
2009
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Linear and Branching System Metrics
by
de Alfaro, L.
, Faella, M.
, Stoelinga, M.
in
Algorithms
/ Asymmetry
/ Automata
/ Behavior
/ Boolean
/ Boolean algebra
/ Clocks
/ Computational modeling
/ Computer simulation
/ Cost accounting
/ Digital audio players
/ Digital Object Identifier
/ Extraterrestrial measurements
/ Formal languages
/ Inclusions
/ Logic
/ Logics of programs
/ Mathematical analysis
/ Metric space
/ Modal logic
/ Reasoning about programs
/ Simulation
/ Software
/ Software engineering
/ Software tools
/ Specification techniques
/ Valuation
2009
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Do you wish to request the book?
Linear and Branching System Metrics
by
de Alfaro, L.
, Faella, M.
, Stoelinga, M.
in
Algorithms
/ Asymmetry
/ Automata
/ Behavior
/ Boolean
/ Boolean algebra
/ Clocks
/ Computational modeling
/ Computer simulation
/ Cost accounting
/ Digital audio players
/ Digital Object Identifier
/ Extraterrestrial measurements
/ Formal languages
/ Inclusions
/ Logic
/ Logics of programs
/ Mathematical analysis
/ Metric space
/ Modal logic
/ Reasoning about programs
/ Simulation
/ Software
/ Software engineering
/ Software tools
/ Specification techniques
/ Valuation
2009
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Journal Article
Linear and Branching System Metrics
2009
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Overview
We extend the classical system relations of trace inclusion, trace equivalence, simulation, and bisimulation to a quantitative setting in which propositions are interpreted not as boolean values, but as elements of arbitrary metric spaces. Trace inclusion and equivalence give rise to asymmetrical and symmetrical linear distances, while simulation and bisimulation give rise to asymmetrical and symmetrical branching distances. We study the relationships among these distances and we provide a full logical characterization of the distances in terms of quantitative versions of LTL and mu-calculus. We show that, while trace inclusion (respectively, equivalence) coincides with simulation (respectively, bisimulation) for deterministic boolean transition systems, linear and branching distances do not coincide for deterministic metric transition systems. Finally, we provide algorithms for computing the distances over finite systems, together with a matching lower complexity bound.
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