Jean-Paul Vanbremeersch's research while affiliated with Institut de France, Académie des sciences and other places
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Publications (30)
This paper presents a conceptual mathematical framework for developing rich human–machine interactions in order to improve decision-making in a social organisation, S. The idea is to model how S can create a “multi-level artificial cognitive system”, called a data analyser (DA), to collaborate with humans in collecting and learning how to analyse d...
L’apport de la littératie des futurs à l’anticipation se rapproche de celui de l’écriture à la parole. La langue parlée tout comme l’anticipation relèvent de capacités innées à l’espèce humaine. Il nous est possible de renforcer et de déployer l’étendue de ces capacités grâce à des compétences socialement et historiquement construites : l’écriture...
The different kinds of knowledge which were connected in Natural Philosophy (NP) have been later separated. The real separation came when Physics took its individuality and developed specific mathematical models, such as dynamic systems. These models are not adapted to an integral study of living systems, by which we mean evolutionary multi-level,...
"Futures Literacy" (FL), as defined by Riel Miller (2018), is a human capacity generally developed through human interactions only. Here we propose to enrich FL by developing a conceptual framework of Human-Machine Interaction allowing to generate richer anticipatory assumptions to "use-the-future" and . "collective intelligence knowledge creation...
OPEN ACCESS: https://www.taylorfrancis.com/books/e/9781351047999 Anticipation is a fundamental building block of this universe. It is a key to turning complexity from a liability into an asset. Yet few have thought about the anticipatory systems and processes that not only surround us but are critical ingredients of the actions everyone, from a bab...
Use of the Memory Evolutive Systems methodology (Ehresmann & Vanbremeersch) for better monitoring and prevention of geriatric risk factors in a high-risk population such as the residents of a nursing-home for elderly dependent persons (EHPAD in French). The idea is to design a high-tech multi-level Data Analyser able to: (i) continuously collect me...
The aim is to describe a Memory Evolutive System (Ehresmann and Vanbremeersch 2007), called I-MES, which models the Immune System with its global multi-scale organization.
![Fig. 2. The basic idea of the uCepCortex as a Cognitive System [9]](profile/Rainer-Ammon/publication/236199713/figure/fig2/AS:299388573372419@1448391206434/The-basic-idea-of-the-uCepCortex-as-a-Cognitive-System-9_Q320.jpg)
Complex Event Processing is studied in the frame of Memory Evolutive Systems, a mathematical model, based on category theory, for evolutionary selforganized hierarchical systems such as biological, social or cognitive systems. Their self-organization depends on the interactions between a net of internal functional subsystems, each operating at its...
We comment on the preceding reviews of our book “Memory Evolutive Systems”, discussing the improvements proposed by some of the reviewers and answering to critics of others, in particular on the
use of category theory for modeling living systems.
Robert Rosen has proposed several characteristics to distinguish “simple” physical systems (or “mechanisms”) from “complex”
systems, such as living systems, which he calls “organisms”. The Memory Evolutive Systems (MES) introduced by the authors
in preceding papers are shown to provide a mathematical model, based on category theory, which satisfies...
The aim of the paper is to compare two different approaches to the modeling of complex natural systems, in particular of their hierarchical organization with higher-order structures and their emergence processes. These approaches are, respectively, the hyperstructures (HS) of Baas and the memory evolutive systems (MES) of Ehresmann and Vanbremeersc...
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...
The aim of this paper is to evaluate the role of symmetry and symmetry-breaking processes on the complex information processing developed by hierarchical evolutionary natural systems, such as biological, neural, social or cultural systems. The study is conducted in the frame of the Memory Evolutive Systems, which give a mathematical model of these...
Memory Evolutive Systems, introduced in preceding papers [1, 2], propose a mathematical model, based on Category Theory, for self-organized hierarchical natural systems, such as biological, neural or social systems. Their dynamics is partially regulated by the coordinated and/or competitive interactions between a net of internal Centers of Regulati...
The notion of an evolutive hierarchical system proposed in this paper is a mathematical model for systems, like organisms,
with more or less complex objects. This model, based on category theory, retains the following characteristics of natural
systems: they have an internal organization consisting of components with interrelations; they maintain t...
The notion of an evolutive hierarchical system proposed here retains the following characteristics of some natural systems, like living organisms: they have an internal organization consisting of more or less complex components with interrelations; they maintain their organization in time although their components are changing; they may be studied...
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 pa...
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...
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...
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 interactio...
Memory Evolutive Systems (MES) give a frame, based on a 'dynamic' category theory, for studying natural evolutionary systems with an intermingled hierarchy of components varying over time, in which processes of higher complexity, up to intentionality, can emerge. They are also able to act as Dubois' internalist anticipatory systems [2]. We prove th...
Extended Abstract What are the causes and effects of Aging? Organisms are subject to constraints imposed by the interplay between predetermined procedures with limited capacities for repair, and unpredictable external stochastic events. Accounting for this fact, numerous biological or physiological theories of aging have been proposed. Most of them...
How do higher mental processes, learning, intentions, thoughts, feelings, arise from the function-ing of the brain? That is the question we attempt to approach in the Memory Evolutive Neural Systems (or MENS). They propose a formal unified model for the investigation of the mind, translating ideas of neuroscientists such as Changeux and Edelman in...
Citations
... Das Denkbarmachen alternativer Zukünfte steht somit im Zentrum der Bemühungen (Bergheim 2020, 118). Die Entwicklung von Futures Literacy erfordert nach Ehresmann et al. (2018) Prozesse der kollektiven Intelligenz zur Schaffung von Wissen. Erst diese Art von Prozessen ermöglicht es den Menschen, sich ihrer eigenen Begrenzungen, Filter, Annahmen und Tunnelblicke bewusst zu werden (Wals & Peters 2017). ...
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... Louie (2009) develops Rosen's work by adopting Aristotle's four forms: the material, formal, efficient, and final causes when making relational diagrams of (M, R) systems. Independent of Rosen and Louie, Ehresmann is another biologist who applies category theory to biology (Ehresmann and Vanbremeersch 2007, 2019. Ehresmann focuses on a categorical concept, colimit, to analyze hierarchical levels by paying attention to neuroscience. ...
... 4.1. DA-MES Becoming Futures Literate (FL) [16,36] For a system to become FL means that it develops a rich variety of anticipatory assumptions (AA) which "are the fundamental descriptive and analytical building blocks for understanding FL" and "using-the-future" (Miller [16], p. 24). An AA for a co-regulator CR (at a given time t) corresponds to the choice of a specific procedure Pr on its landscape and evaluation of its expected result (if the realization of Pr succeeds). ...
... In other words, how can it reach its selfactualization by co-becoming with its future? Ontologically speaking, we are confronted with the question of how to deal with an unknown future and how one can make use of it (in the sense of futures literacies [52][53][54][55][56]) in order to transform what the self actually is in the present moment into what it potentially could become in the future. In other words, how the self can enact its (full) potential. ...
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... Let us give a potential illustration that has been at the root of this research work, namely the problem of health, or risk prevention in a care-home for elderly persons, developed in Ehresmann and Vanbremeersch [37]. ...
... Other models of consciousness, to more or less extend, also claim core structures. Some examples are the global workspace (GW) [46], the global neuronal workspace (GNW) [47], the dynamical core [48], and the memory evolutive neural systems (MENS) [49], among many others. All these models treat conscious experience as emerging and reduced to the core structure, while this structure is postulated as a key initial assumption. ...
... Within the framework of category theory we can beautifully illustrate the differences between reductionism and non-reductionism -as pointed out by Ehresmann & Vanbremeersch (1994). We appeal here to the figure 2 : ...
Reference: On Emergence and Explanation
... Interações equivalentes podem ser diferenciadas, identificando padrões de interação entre objetos, assim como algumas invariantes em sua ação. Desta forma, um objeto complexo pode ser decomposto em componentes básicos (Ehresmann & Vanbremeersch, 2006). ...
... In a series of papers (Baas 1994(Baas , 1996(Baas , 2006(Baas , 2009a(Baas , 2009b(Baas , 2013a(Baas , 2013b(Baas , 2015(Baas , 2016(Baas , 2017(Baas , 2018Baas, Seeman, and Stacey 2015;Baas et al. 2014;Baas and Seeman 2012;Baas, Ehresmann, and Vanbremeersch 2004;Baas and Stacey 2016) we have discussed higher structures in science in general, and developed a framework called Hyperstructures for describing and working with higher structures. In Baas (forthcoming) we discussed the philosophy behind higher structures and formulated a principle in six stages -the Hyperstructure Principle -for forming higher structures. ...
Reference: On the mathematics of higher structures
... In the theory of Memory Evolutive Systems by Ehresmann and Vanbremeersch [44] [12] [45], systems, be they biological, social or artificial, are seen as hierarchical categories evolving through time. Those categories become more and more complex in their structure, due to a property called the Multiplicity Principle (MP for short) [12, chapter 4, section 4.3, page 92]. ...
