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Energy as Syntax

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Joint Theory/School Seminar

To model and analyze decentralized dynamics of high complexity and connectedness, one has to go beyond basic descriptive tools such as Markov chains and differential equations. Even representational challenges can be insurmountable without structured syntaxes. Eg, we have developed the concepts of rule-based modeling of bio-molecular networks and the accompanying kappa language. In this talk, I will discuss how one can program the dynamics of such stochastic graph rewriting systems by means of local energy functionals. The idea is that the dynamics is now inferred from the statics (as in MCMC methods). This leads to less parameter-hungry modeling and meshes well with statistical mechanical techniques.

This talk is part of the Theoretical computer science seminar series.

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