Memory Evolutive Systems; Hierarchy, Emergence, Cognition, Volume 4 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Memory Evolutive Systems; Hierarchy, Emergence, Cognition, Volume 4

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A C Ehresmann 作者
Elsevier Science
译者
2007-7-25 出版日期
402 页数
USD 205.00 价格
Hardcover
丛书系列
9780444522443 图书编码

Memory Evolutive Systems; Hierarchy, Emergence, Cognition, Volume 4 在线电子书 图书标签: 脑科学  数学  神经科学   


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Memory Evolutive Systems; Hierarchy, Emergence, Cognition, Volume 4 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Memory Evolutive Systems; Hierarchy, Emergence, Cognition, Volume 4 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Memory Evolutive Systems; Hierarchy, Emergence, Cognition, Volume 4 在线电子书 图书描述

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) with a differential access to a central hierarchical 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 structure 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. This book provides comprehensive and comprehensible coverage of Memory Evolutive System. It is written by the developers of the Memory Evolutive Systems. It is designed to explore the common language between sciences.

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