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 mixed with the global heirarchical memory.

The MES proposes a mathematical model for autonomous evolutionary systems. 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.

The behavior of this type of system could be anticipate some time ago.

The role of the MES model will be two-fold: for the biology, medicine, sociology, ecology, economy, meteorology, and other sciences.

Key Features:
* Comprehensive and comprehensible coverage of Evolutive System Memory
* Written by the developers of the Memory Evolutive Systems
* Designed to explore the common language between sciences

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