Elsevier S & T

Memory Evolutive Systems; Hierarchy, Emergence, Cognition

Ehresmann, A C; Vanbremeersch, J.P.

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Table of contents
  • Cover
  • Table of Contentsvii
  • Introduction1
  • 1. Motivations1
  • 2. Why Resort to a Model?3
  • 3. Two Representative Examples6
  • 4. How Does the Model Function?9
  • 5. Plan of the Book13
  • Acknowledgements15
  • Part A. Hierarchy and Emergence17
  • Chapter 1. Nets of Interactions and Categories21
  • 1. Systems Theory and Graphs22
  • 2. Categories and Functors25
  • 3. Categories in Systems Theory32
  • 4. Construction of a Category by Generators and Relations37
  • 5. Mathematical Examples of Categories42
  • Chapter 2. The Binding Problem49
  • 1. Patterns and Their Collective Links49
  • 2. Colimit of a Pattern56
  • 3. Integration vs. Juxtaposition62
  • 4. Interlude: A Transport Network68
  • Chapter 3. Hierarchy and Reductionism73
  • 1. P-Factors of a Link Towards a Complex Object73
  • 2. Interactions between Patterns: Simple Links80
  • 3. Representative Sub-Patterns85
  • 4. Multiplicity Principle89
  • 5. Hierarchies94
  • 6. Complexity Order of an Object: Reductionism102
  • Chapter 4. Complexification and Emergence109
  • 1. Transformation and Preservation of Colimits110
  • 2. Different Types of Complexifications117
  • 3. First Steps of the Complexification121
  • 4. Construction of the Complexification125
  • 5. Properties of the Complexification128
  • 6. Successive Complexifications: Based Hierarchies131
  • 7. Discussion of the Emergence Problem138
  • Part B. Memory Evolutive Systems143
  • Chapter 5. Evolutive Systems147
  • 1. Mechanical Systems vs. Living Systems147
  • 2. Characteristics of an Evolutive System150
  • 3. Evolutive Systems153
  • 4. Hierarchical Evolutive Systems and Some Examples161
  • 5. Stability Span and Temporal Indices163
  • 6. Complement: Fibration Associated to an Evolutive System171
  • Chapter 6. Internal Regulation and Memory Evolutive Systems175
  • 1. Regulatory Organs in Autonomous Systems176
  • 2. Memory and Learning180
  • 3. Structure of Memory Evolutive Systems183
  • 4. Local Dynamics of a Memory Evolutive System188
  • 5. Global Dynamics of a Memory Evolutive System200
  • 6. Some Biological Examples203
  • 7. Examples at the Level of Societies and Ecosystems207
  • Chapter 7. Robustness, Plasticity and Aging213
  • 1. Fractures and Dyschrony213
  • 2. Dialectics between Heterogeneous Co-Regulators217
  • 3. Comparison with Simple Systems224
  • 4. Some Philosophical Remarks228
  • 5. Replication with Repair of DNA231
  • 6. A Theory of Aging234
  • Chapter 8. Memory and Learning245
  • 1. Formation of Records245
  • 2. Development of the Memory250
  • 3. Procedural Memory253
  • 4. Functioning of the Procedural Memory259
  • 5. Selection of Admissible Procedures262
  • 6. Operative Procedure and Evaluation265
  • 7. Semantic Memory269
  • 8. Some Epistemological Remarks280
  • Part C. Application to Cognition and Consciousness285
  • Chapter 9. Cognition and Memory Evolutive Neural Systems287
  • 1. A Brief Overview of Neurobiology287
  • 2. Categories of Cat-Neurons292
  • 3. The Hierarchical Evolutive System of Cat-Neurons297
  • 4. The Memory Evolutive Neural System302
  • 5. Development of the Memory via the Co-Regulators307
  • 6. Applications315
  • Chapter 10. Semantics, Archetypal Core and Consciousness321
  • 1. Semantic Memory321
  • 2. Archetypal Core332
  • 3. Conscious Processes337
  • 4. Some Remarks on Consciousness344
  • 5. A Brief Summary348
  • Appendix353
  • Bibliography361
  • List of Figures379
  • Index383
Book details
  • Vendor Elsevier S & T
  • SKU 9780444522443
  • ISBN-13 9780080555416
  • Author Ehresmann, A C; Vanbremeersch, J.P.
  • Category Medical
  • Subject Neuroscience

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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.

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