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Exploring Synthetic Mass Action Models

  • Oded MalerEmail author
  • Ádám M. Halász
  • Olivier Lebeltel
  • Ouri Maler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7699)

Abstract

In this work we propose a model that can be used to study the dynamics of mass action systems, systems consisting of a large number of individuals whose behavior is influenced by other individuals that they encounter. Our approach is rather synthetic and abstract, viewing each individual as a probabilistic automaton that can be in one of finitely many discrete states. We demonstrate the type of investigations that can be carried out on such a model using the Populus toolkit. In particular, we illustrate how sensitivity to initial spatial distribution can be observed in simulation.

Keywords

Particle Type Aggregate Model Stochastic Simulation Algorithm Input Alphabet Interaction Radius 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

We thank Eric Fanchon for many useful comments.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Oded Maler
    • 1
    Email author
  • Ádám M. Halász
    • 2
  • Olivier Lebeltel
    • 1
  • Ouri Maler
    • 2
  1. 1.VERIMAG, CNRS, University of Grenoble-AlpesGrenobleFrance
  2. 2.Department of MathematicsWest Virginia UniversityMorgantownUSA

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