title: Information processing and symmetry-breaking in memory evolutive systems.
abstract: The aim of this paper is to evaluate the role of symmetry and symmetry-breaking processes on the complex information processing developed by hierarchical evolutionary natural systems, such as biological, neural, social or cultural systems. The study is conducted in the frame of the Memory Evolutive Systems, which give a mathematical model of these systems. The dynamics of a MES is modulated by the competition between a net of internal regulation centers which act apart-but encode overlapping strategies which have to be equilibrated. The main characteristics of these systems, at the root of their complexity and adaptability, is a symmetry-breaking in the passage from a higher (or macro) level to a lower (or micro) level: several disparate sub-systems with different comportments at the micro level can be undistinguishable at the higher macro level because of a similar macro behavior (Multiplicity Principle). It is responsible for the development of a dialectics between heterogeneous regulation centers, and for the emergence in time of more and more complex objects. An application to neural systems vindicates an emergentist dynamical reduction of mental states to physical states.
authors.affiliation: Facultè de Mathématiques et d'Informatique, Amiens, France. ehres@mathinfo.u-picardie.fr
authors.forename: A C
authors.initials: AC
authors.lastname: Ehresmann
authors.forename: J P
authors.initials: JP
authors.lastname: Vanbremeersch
mesh_terms: D000818:Animals; D003198:Computer Simulation; D005103:Expert Systems; D007839:Functional Laterality; D006801:Humans; D008568:Memory; D008954:Models, Biological