MENS, an Info-Computational Model for (Neuro-)cognitive Systems Capable of Creativity
A. Ehresmann
Entropy September 7, 2012 DOI: 10.3390/e14091703 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes MENS, a bio-inspired mathematical model of higher-level cognition derived from Memory Evolutive Systems, built by abstracting properties of the human brain and mind (up to consciousness and creativity) into a dynamic Category Theory that incorporates Time. The authors emphasize the computability problems that this modeling approach raises. |
Abstract
MENS is a bio-inspired model for higher level cognitive systems; it is an application of the Memory Evolutive Systems developed with Vanbremeersch to model complex multi-scale, multi-agent self-organized systems, such as biological or social systems. Its development resorts to an info-computationalism: first we characterize the properties of the human brain/mind at the origin of higher order cognitive processes up to consciousness and creativity, then we ‘abstract’ them in a MENS mathematical model for natural or artificial cognitive systems. The model, based on a ‘dynamic’ Category Theory incorporating Time, emphasizes the computability problems which are raised.
Citations in the library
Cited by 4
- De-anthropomorphizing the mind: life as a cognitive spectrum in a unified framework for biological minds Frontiers in Systems Neuroscience January 22, 2026
- Discussion on the Relationship between Computation, Information, Cognition, and Their Embodiment. Entropy (Basel, Switzerland) February 8, 2023
- Consciousness, Free Energy and Cognitive Algorithms. Frontiers in Psychology July 30, 2020
- Conciliating neuroscience and phenomenology via category theory. Progress in Biophysics and Molecular Biology December 2015