The theory of Memory Evolutive Systems represents a mathematical model for natural open self-organizing systems, such as biological, sociological or neural systems. In these systems, the dynamics are modulated by the cooperative and/or competitive interactions between the global system and a net of internal Centers of Regulation (CR) wich a differential access to a central heirarchical Memory. The MES proposes a mathematical model for autonomous evolutionary systems and is based on the Category Theory of mathematics. It provides a framework to study and possibly simulate the structre of "living systems" and their dynamic behavior. MES explores what characterizes a complex evolutionary system, what distinguishes it from inanimate physical systems, its functioning and evolution in time, from its birth to its death. The behavior of this type of system depends heavily on its former experiences, and a model representing the system over a period of time, could anticipate later behavior and perhaps even predict some evolutionary alternatives. The role of the MES model will be two-fold: theoretical, for a comprehension of a fundamental nature and practical, for applications in biology, medicine, sociology, ecology, economy, meteorology, and other sciences.

Key Features

Key Features: *Comprehensive and comprehensible coverage of Memory Evolutive System *Written by the developers of the Memory Evolutive Systems *Designed to explore the common language between sciences


Researchers, teachers and students in pure mathematics, computer science, cognitive science, study of complexity and systems theory, Category Theory, biological systems theory, consciousness theory. It would be of interest to both individuals and institutional libraries.

Table of Contents

Part A: Hierarchy. Emergence Chapter 1: Net of Interactions and Categories Chapter 2: The Binding Problem Chapter 3: Hierarchy and Reductionism Chapter 4: Complexifications and Emergence Part B: Memory Evolutive Systems Chapter 5: Evolutionary Systems Chapter 6: Internal Organization and MES Chapter 7: Robustness and Plasiticity Chapter 8: Memory and Learning Part C: Application to Cognition and Consciousness Chapter 9: Cognitive Systems and MES of CAT-Neurons Chapter10: Semantics, Archetypal Core and Consciousness


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© 2007
Elsevier Science
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About the authors

A Ehresmann

Affiliations and Expertise

Universite de Picardie Jules Verne Faculte Math. Info, France

J.P. Vanbremeersch

Affiliations and Expertise

Centre Medical St. Roch - Tivoli, Amiens, France