Ehresmann, Andree and Vanbremeersch, Jean-Paul (1999) Memory Evolutive Systems. [Preprint]
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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.
Item Type: | Preprint |
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Keywords: | evolutionary system, biological system, anticipatory system, complexity theory, category theory, neural network, philosophy of mind |
Subjects: | Computer Science > Complexity Theory Computer Science > Neural Nets Neuroscience > Neural Modelling |
ID Code: | 921 |
Deposited By: | Ehresmann, Andree |
Deposited On: | 07 Aug 2000 |
Last Modified: | 11 Mar 2011 08:54 |
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