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 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
eBook, English, 2007
Elsevier Science, [Place of publication not identified], 2007
1 online resource (1 volume)
9780444522443, 9780080555416, 9781281186805, 0444522441, 0080555411, 1281186805
166352090
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