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Memory evolutive systems : hierarchy, emergence, cognition.
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Elsevier Science,
2007.
|
| Colección: | Studies in multidisciplinarity ;
v. 4. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo Texto completo |
MARC
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| 245 | 0 | 0 | |a Memory evolutive systems : |b hierarchy, emergence, cognition. |
| 260 | |a [Place of publication not identified] : |b Elsevier Science, |c 2007. | ||
| 300 | |a 1 online resource (1 volume) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Studies in multidisciplinarity ; |v v. 4 | |
| 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 | ||
| 505 | 0 | |a 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. | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Self-organizing systems. | |
| 650 | 6 | |a Syst�emes auto-organis�es. |0 (CaQQLa)201-0005928 | |
| 650 | 7 | |a SCIENCE |x System Theory. |2 bisacsh | |
| 650 | 7 | |a Self-organizing systems |2 fast |0 (OCoLC)fst01111791 | |
| 700 | 1 | |a Charles Ehresmann, Andr�ee. | |
| 700 | 1 | |a Vanbremeersch, Jean-Paul. | |
| 776 | 0 | 8 | |i Print version: |t Memory evolutive systems. |d [S.l.] : Elsevier Science, 2007 |z 0444522441 |z 9780444522443 |w (OCoLC)166268168 |
| 830 | 0 | |a Studies in multidisciplinarity ; |v v. 4. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780444522443 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/publication?issn=15710831&volume=4 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/bookseries/15710831/4 |z Texto completo |