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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
Memory Evolutive Systems; Hierarchy, Emergence, Cognition provides comprehensive and comprehensible coverage of Memory Evolutive Systems (MEM). Written by the developers of the MEM, the book proposes a mathematical model for autonomous evolutionary systems based on the Category Theory of mathematics. It describes a framework to study and possibly simulate the structure of living systems and their dynamic behavior.
This book contributes to understanding the multidisciplinary interfaces between mathematics, cognition, consciousness, biology and the study of complexity. It is organized into three parts. Part A deals with hierarchy and emergence and covers such topics as net of interactions and categories; the binding problem; and complexifications and emergence. Part B is about MEM while Part C discusses MEM applications to cognition and consciousness. The book explores the characteristics of a complex evolutionary system, its differences from inanimate physical systems, and its functioning and evolution in time, from its birth to its death.
This book is an ideal reference for researchers, teachers and students in pure mathematics, computer science, cognitive science, study of complexity and systems theory, Category Theory, biological systems theory, and consciousness theory. It would also be of interest to both individuals and institutional libraries.
- 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
Researchers, teachers and students in pure mathematics, computer science, cognitive science, study of complexity and systems theory, Category Theory, biological systems theory, consciousness theory. It would be of interest to both individuals and institutional libraries
- No. of pages:
- © Elsevier Science 2007
- 25th May 2007
- Elsevier Science
- Hardcover ISBN:
- eBook ISBN:
Universite de Picardie Jules Verne Faculte Math. Info, France
Centre Medical St. Roch - Tivoli, Amiens, France
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