Memory Evolutive Systems; Hierarchy, Emergence, Cognition
Memory Evolutive Systems; Hierarchy, Emergence, Cognition by A C Ehresmann is published by Elsevier S & T in 2007 and spans 402 pages in English. This book presents a mathematical model for natural open self-organizing systems, focusing on biological, sociological, and neural systems. It explores how the dynamics of these systems are influenced by interactions between the global system and internal Centers of Regulation, which have varying access to a hierarchical memory.
Readers will find a detailed examination of autonomous evolutionary systems based on Category Theory, providing a framework for studying the structure and behavior of living systems over time. The book delves into the characteristics that differentiate complex evolutionary systems from inanimate physical systems, addressing their functioning and evolution from inception to demise. The MES model serves both theoretical and practical purposes, with applications across various fields, including biology, medicine, sociology, and ecology.
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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.
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
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