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Memory evolutive systems = hierarchy, emergence, cognition.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Memory evolutive systems/
其他題名:	hierarchy, emergence, cognition.
其他作者:	Charles Ehresmann, Andr�ee.
出版者:	[S.l.] :Elsevier Science, : 2007.,
面頁冊數:	1 online resource (1 v.)
標題:	Self-organizing systems. -
電子資源:	http://www.sciencedirect.com/science/book/9780444522443
ISBN:	9780444522443

Memory evolutive systems = hierarchy, emergence, cognition.
Memory evolutive systemshierarchy, emergence, cognition.[electronic resource] : - [S.l.] :Elsevier Science,2007. - 1 online resource (1 v.) - Studies in multidisciplinarity ;v. 4. - Studies in multidisciplinarity ;v. 4..

Includes bibliographical references and index.

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.

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.

ISBN: 9780444522443

Source: 114571:114664Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

121035
Self-organizing systems.
Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: Q325 / .C43 2007eb

Dewey Class. No.: 003/.7

Memory evolutive systems = hierarchy, emergence, cognition.
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520 $a 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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