Comparing Symmetries in Models and Simulations

Giuseppe Longo (1, 2, 3, 4, 5, 6) , Maël Montévil

1 Department of Integrative Physiology and Pathobiology
2 La République des savoirs : Lettres, Sciences, Philosophie
3 Centre Cavaillès
4 CNRS - Centre National de la Recherche Scientifique
5 ENS-PSL - École normale supérieure - Paris
6 Tufts University School of Medicine [Boston]

Computer simulations brought remarkable novelties in knowledge construction. In this paper, we first distinguish between mathematical modeling, computer implementations of these models and purely computational approaches. In all three cases, different answers are provided to the questions the observer may have concerning the processes under investigation. These differences will be highlighted by looking at the different theoretical symmetries of each frame. In the latter case, the peculiarities of Agent Based or Object Oriented Languages allow to discuss the role of phase spaces in mathematical analyses of physical vs. biological dynamics. Symmetry breaking and ran-domness are finally correlated in the various contexts where they may be observed.

Mots clés: computer simulation; symmetries; randomness; theoretical framework; biology; equational modeling

Domaines: Informatique [cs]; Mathématiques [math]; Physique [physics]; Sciences du Vivant [q-bio]; Histoire, Philosophie et Sociologie des sciences

Giuseppe Longo, Maël Montévil. Comparing Symmetries in Models and Simulations. Springer Handbook of Model-Based Science, 2017, ⟨10.1007/978-3-319-30526-4⟩. ⟨hal-01380014v2⟩