Memory Evolutive Systems; Hierarchy, Emergence, Cognition

Other | May 1, 2007

byEhresmann, A C, A C Ehresmann

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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.

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*Comprehensive and comprehensible coverage of Memory Evolutive System
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From the Publisher

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) ...

Format:OtherDimensions:402 pages, 1 × 1 × 1 inPublished:May 1, 2007Publisher:Elsevier ScienceLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080555411

ISBN - 13:9780080555416

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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