Hyperstructures and memory evolutive systems
Authors:
Nils A. Baas a;
Andr
e C. Ehresmann b;
Jean-Paul Vanbremeersch b
e C. Ehresmann b;
Jean-Paul Vanbremeersch b
| Affiliations: | a Department of Mathematical Sciences, The Norwegian University of Science and Technology, Trondheim, Norway |
b Facult de Math matiques et d'Informatique, Amiens, France |
DOI:
10.1080/0308107042000193534
Publication Frequency:
8 issues per year
Published in:
International Journal of General Systems,
Volume
33,
Issue
5
October
2004
, pages 553
- 568
Subjects:
Algorithms & Complexity;
Cybernetics;
Fuzzy Systems;
Mathematical Modeling;
Non-Linear Systems;
Semiotics;
Simulation & Modeling;
Systems & Controls;
Thinking, Reasoning & Problem Solving;
Universal Design;
Number of References: 24
Formats available:
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(English)
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(English)
Also incorporating: International Journal of Smart Engineering System Design
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Abstract
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 Vanbremeersch. The HS are “structural” while MES, based on category theory, take dynamics more into account. It is shown how the dynamical organization and mechanisms developed for MES rely on simple ideas of a philosophical nature, that might be disengaged from the categorical setting and extended to the general frame of HS.
|
| Keywords: Structure; Hierarchy; Emergence; Category; Dynamics; Complexity |
| view references (24) |

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