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28 results on '"Vanbremeersch, Jean-Paul"'

1. Are interactions between different time-scales a characteristic of complexity?

Author

Vanbremeersch, Jean-Paul, Chandler, Jerry, Ehresmann, Andree, Ehresmann, Andree, Farre, George, and Vanbremeersch, Jean-Paul

Subjects
Biology: Theoretical Biology, Computer Science: Complexity Theory, Neuroscience: Neural Modelling, Theoretical Biology, Complexity Theory, Neural Modelling
Abstract

A self-organized complex natural system, such as a biological, a neural or a social system, is characterized by the fact that its dynamics is generated by a network of competitive regulations, each one acting as a 'simple system' (in the Newtonian sense) at a given level of complexity and with its own time-scale. A dialectics dependent on specific structural temporal constraints is established between them, punctuated by local fractures imposing a change of strategy. Such systems are capable of anticipation and adaptation thanks to the development of a memory. The Memory Evolutive Systems (MES) defined by Ehresmann and Vanbremeersch in a series of papers since 1986 represent a mathematical model for such systems, based on the Theory of categories. This model takes into account the above properties, and it allows to study the problem of emergence; an analysis of causality attributions shows that MES satisfy the definition given by Rosen for an 'organism'.

Published
1996

2. Semantics and Communication for Memory Evolutive Systems

Author

Ehresmann, Andrée and Vanbremeersch, Jean-Paul

Subjects
Biology: Theoretical Biology, Computer Science: Complexity Theory, Neuroscience: Neural Modelling, Philosophy: Philosophy of Mind, Theoretical Biology, Complexity Theory, Neural Modelling, Philosophy of Mind
Abstract

In a series of preceding papers, the authors have developed the theory of Memory Evolutive Systems which represents a mathematical model (based on Category theory) for natural open self-organizing systems, such as biological, sociological or neural systems. In these systems, the dynamics is modulated by the cooperative or/and competitive interactions between the global system and a net of internal more or less specialized Centers of Regulation (CR) with a differential access to a central hierarchical Memory. Each CR operates at its own complexity level and time-scale, but their strategies are competitive, whence a 'dialectics between heterogeneous CRs which is at the root of higher order cognition. The problem tackled in the present paper is the emergence of a Semantics in the MES modeling a cognitive system; it relies on the detection of specific invariances by the CRs that leads to classify objects according to their main attributes, and form new formal units representing their invariance classes. The idea is that a (lower) CR, say E, classifies two objects B and C as having 'the same shape' if they activate the same pattern of its actors; however this classification remains implicit for E itself and it can be apprehended only by a higher Ievel CR which may memorize the invariance class by a higher object, called a 'E-concept'. The concepts with respect to the various CRs form the semantic memory which gives more flexibility in the evaluation, selection and memorization of appropriate strategies, as well as in internal or external communications.

Published
1992

3. Memory Evolutive Systems

Author

Ehresmann, Andree and Vanbremeersch, Jean-Paul

Subjects
Computer Science: Complexity Theory, Computer Science: Neural Nets, Neuroscience: Neural Modelling, Complexity Theory, Neural Nets, Neural Modelling
Abstract

Natural autonomous systems, such as biological, neural, social or cultural systems, are open, self-organized systems with a more or less large hierarchy of interacting complexity levels; they are able to memorize their experiences and to adapt to various conditions through a change of behavior. These last fifteen years, the Authors have developed a mathematical model for these systems, based on Category Theory. The aim of the paper is to give an overview of this model, called Memory Evolutive Systems.

Published
1999

4. How to model consciousness in Memory Evolutive Systems?

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Subjects
Computer Science: Neural Nets, Neural Nets
Abstract

Memory Evolutive Systems (MES) represent a mathematical model, based on Category Theory, to study natural open autonomous systems such as biological, neural or social systems. It has been progressively developed by the authors in a series of papers since 1986. In this model the dynamics is modulated by the competitive interactions between a net of internal more or less complex organs of regulation, called CoRegulators (CR), with a differential access to a central hierarchical Memory. This article attempts to model the notions of Semantics and Consciousness in such a MES A Semantics will emerge through the detection of specific invariances by the CRs that leads to classify objects according to their main attributes, and record the invariance classes. The model explains how it relies on a hierarchical 2 steps process: first a pragmatically 'acted' classification at the level of specific attributes (such as colors), then this classification is 'reflected' and analyzed at a higher level, and a new formal unit, called a 'concept', is formed to represent the invariance class (e.g., the color 'blue'). The introduction of more and more abstract concepts gives more flexibility to the comportment. It is essential for the development of some kind of 'consciousness'. A 'conscious' CR is characterized by the capacity to respond to a new event or to a fracture by an increase in awareness, which permits: (i) to extend its actual 'landscape' (formed by the information it can gather) retrospectively to past lower levels; (ii) to operate an abduction process in this extended landscape to find possible causes of the fracture; (iii) and finally to planify a strategy for several steps ahead, through the formation of internal 'virtual' landscapes in which strategies can be tried without energy costs. Thus consciousness would amount to an internalization of Semantics and Time, giving a selective advantage. In the second Part of the paper, a MES modeling a neural system is explicitly described and it is shown how the various processes described above are in agreement with present neurophysiological knowledge. Finally the general ideas are illustrated on a concrete example.

Published
1999

5. Approach to a model of the aging phenomenon

Author

Vanbremeersch, Jean-Paul and Ehresmann, Andrée C.

Subjects
Biology: Behavioral Biology, Biology: Population Biology, Computer Science: Complexity Theory, Behavioral Biology, Population Biology, Complexity Theory
Abstract

Numerous physiological theories of aging have been proposed; most of them approach the problem in an essentially local manner, stressing the role of a particular factor intervening at a certain level and the resulting pathological consequences. But they do not allow for a combination of the different phenomena observed in the aging process. This paper proposes a more unified and global approach to this process. It is presented in the frame of a mathematical model for complex systems with a hierarchy of internal regulation centers (CR), developed by the authors in preceding papers; the dynamics of such a system depends on a dialectics between these CRs due to their different complexity level and different timescales. Aging for an organism is described as a consequence of this dialectics, that progressively triggers a "cascade of de/resynchronizations" between the CRs, resulting from the reduction in stability of complex components (increase in turnover or acceleration of degradation) and the increase in transmission delays for functioning and repair. This temporal imbalance comes from the interplay between external stochastic disturbances and more or less predetermined sub-systems with limited capacities for repair.

Published
1992

8. Analysis of Complex Events in Memory Evolutive Systems

Author

Ehresmann, Andrée C., Vanbremeersch, Jean-Paul, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cezon, Michel, editor, and Wolfsthal, Yaron, editor

Published
2011
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13. Towards a formal framework for describing collective intelligence knowledge creation processes that 'use-the-future'

Author

Ehresmann, Andree, Tuomi, Ilkka, Miller, Riel, Béjean, Mathias, Vanbremeersch, Jean-Paul, Université de Picardie Jules Verne (UPJV), Laboratoire Amiénois de Mathématique Fondamentale et Appliquée - UMR CNRS 7352 (LAMFA), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Danish Technology Institute (DTI), Ministry of Science, Technology and Innovation, Institut de Recherche en Gestion (IRG), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Miller, R, and DESSAIVRE, Louise

Subjects
[MATH] Mathematics [math], IRG_ AXE3, [MATH]Mathematics [math], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018

15. MENS, a mathematical model for cognitive systems

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Subjects
memory, cognition, mental object, category, complexification, emergence, Neuron, consciousness, colimit
Abstract

How do higher mental processes, learning, intentions, thoughts, feelings, arise fromthe functioning of the brain? That is the question we attempt to approach in the MemoryEvolutive Neural Systems (or MENS). This theory proposes a formal unified model for the investigation of the mind, translating ideas of neuroscientists such as Changeux and Edelman in a mathematical language based on Eilenberg and Mac Lane's theory ofcategories (which unifies the main mathematical operations). MENS is an application for cognitive systems of our general model MES for autonomous complex hierarchical systems, such as biological or social systems. The 'complexification process', introducedin MES to model the formation of increasingly complex objects, is related to the "binding problem"of neuroscience and it characterizes how higher cognitive processes,the development of a semantic memory, and consciousness, may emerge from physical states of the brain, thus supporting an emergentist monism. In particular, the existence of consciousness is related to the development of a global invariant, the archetypal core that integrates and merges the lasting corporal and mental experiences, giving a basis at the notion of self.

Published
2009
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17. Chapter Ten: Semantics, Archetypal Core and Consciousness.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 10 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on the main characteristics of neural systems which lead to the development of cognitive processes. It discusses the components, perceptual categorization, and concept of semantic memory. It offers information on archetypal core and conscious processes.

Published
2007

18. Chapter 9: Cognition and Memory Evolutive Neural Systems.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 9 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on cognition and memory evolutive neural systems. It presents an overview of neurobiology, including its neural systems and cognitive capacities. It discusses the categories of cat-neurons, the hierarchical evolution system of cat-neurons, and development of the memory through a co-regulator.

Published
2007

19. Chapter 8: Memory and Learning.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 8 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on the vital role of memory and learning in a memory evolutive system. It discusses the formation of records in the system, the development of the memory, the function of the procedural memory, and the selection of admissible procedures.

Published
2007

20. Chapter 7: Robustness, Plasticity and Aging.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 7 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on memory evolutive system and its co-regulators. It analyzes possible problems that may arise if the dynamics of the whole system are disturbed. It discusses the dialectics between heterogeneous co-regulators.

Published
2007

21. Chapter 6: Internal Regulation and Memory Evolutive Systems.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 6 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on memory evolutive system, including its definition, structure and internal regulation, and hierarchical natural systems. It discusses the regulatory organs of autonomous systems, the types of memories in natural systems, and the local and global dynamics of a memory evolutive system.

Published
2007

22. Chapter 5: Evolutive Systems.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 5 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on evolutive system, including its characteristics, definition, components, and boundary problems. It discusses the difference between mechanical systems and living systems. It offers information about hierarchical evolutive systems and stability span and temporal indices.

Published
2007

23. Chapter 3: Hierarchy and Reductionism.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 3 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on the hierarchy and reductionism of systems theory. It discusses the concept of a hierarchy within the categorical framework, the colimit of a pattern in representing the organization of its lower level components, and how the links between complex objects are formed.

Published
2007

24. Chapter 4: Complexification and Emergence.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 4 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on the complexification and emergence of systems theory. It discusses the transformation and preservation of colimits, the different types of complexifications, the construction of complexification, and the properties of complexification.

Published
2007

25. Chapter 2: The Binding Problem.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 2 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on the binding problem of memory evolutive systems. It discusses the components of complex systems at various levels of complexity, the internal organization of a complex object, the colimit of a pattern, the mathematical concept of a colimit, and the characteristics of a transport network.

Published
2007

26. Chapter 1: Nets of Interactions and Categories.

Author

Ehresmann, Andrée C. and Vanbremeersch, Jean-Paul

Abstract

Chapter 1 of the book "Memory Evolutive Systems: Hierarchy, Emergence, Cognition," VOLUME 4, by Andrée C. Ehresmann and Jean-Paul Vanbremeersch is presented. It focuses on the interactions and categories of systems theory and graphs. It discusses the history of system theory and presents a definition of a graph, category, and functor. It explores the significant aspects of category theory, the categories in systems theory, and the construction of a category by generators and relations.

Published
2007

27. Emergence Processes up to Consciousness Using the Multiplicity Principle and Quantum Physics.

Author

Ehresmann, Andre´e C. and Vanbremeersch, Jean-Paul

Subjects
*QUANTUM theory, *MULTIPLICITY of nuclear particles
Abstract

Evolution is marked by the emergence of new objects and interactions. Pursuing our preceding work on Memory Evolutive Systems (MES; cf. our Internet site), we propose a general mathematical model for this process, based on Category Theory. Its main characteristics is the Multiplicity Principle (MP) which asserts the existence of complex objects with several possible configurations. The MP entails the emergence of non-reducible more and more complex objects (emergentist reductionism). From the laws of Quantum Physics, it follows that the MP is valid for the category of particles and atoms, hence, by complexification, for any natural autonomous anticipatory, complex system, such as biological systems up to neural systems, or social systems. Applying the model to the MES of neurons, we describe the emergence of higher and higher cognitive processes and of a semantic memory. Consciousness is characterized by the development of a permanent 'personal' memory, the archetypal core, which allows the formation of extended landscapes with an integration of the temporal dimensions. [ABSTRACT FROM AUTHOR]

Published
2002

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