Communicating and mobile systems: the &pgr;-calculus
Communicating and mobile systems: the &pgr;-calculus
PI-Calculus: A Theory of Mobile Processes
PI-Calculus: A Theory of Mobile Processes
CONCUR '96 Proceedings of the 7th International Conference on Concurrency Theory
Graph Types for Monadic Mobile Processes
Proceedings of the 16th Conference on Foundations of Software Technology and Theoretical Computer Science
BioAmbients: an abstraction for biological compartments
Theoretical Computer Science - Special issue: Computational systems biology
Types and full abstraction for polyadic π-calculus
Information and Computation
A core calculus for a comparative analysis of bio-inspired calculi
ESOP'07 Proceedings of the 16th European conference on Programming
Stochastic simulation of biological systems with dynamical compartment structure
CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
π@: a π-based process calculus for the implementation of compartmentalised bio-inspired calculi
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
Beta binders for biological interactions
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
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A translation of Beta-binders in pi@ is presented. Beta-binders is a bio-inspired formalism that allows the modelling of processes wrapped into boundaries. No notion of enclosing compartment can instead be found in pi@, a dialect of the pi-calculus where actions are associated with a priority value driving their execution and where channel names can have a composite structure. As recently shown, pi@ is a suitable language for encoding both Bio-Ambients and Brane Calculi, two of the most well-known formalisms for modelling biological scenarios. The translation provided here, which comes together with results about the operational correspondence of Beta-binders processes and their encodings, goes in the direction of assessing pi@ as a platform for investigating the relative expressive power of various bio-inspired languages.