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pro vyhledávání: '"Andrée C"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 2, Pp 597-610 (2023)
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 syst
Externí odkaz:
https://doaj.org/article/d86c0ed17ae54e28af73b9711e3c3879
Autor:
Andrée C. Ehresmann
Publikováno v:
Entropy, Vol 14, Iss 9, Pp 1703-1716 (2012)
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.
Externí odkaz:
https://doaj.org/article/6d7113a16f62487cbd9f25e03b279e78
Autor:
Musmann, RJ, Andree, C., Munder, B., Hagouan, M., Janku, D., Daniels, M., Aufmesser-Freyhardt, B., Becker, K., Oramary, A., Bromba, A., Stockhausen, N., Wolter, A., Fertsch, S.
Publikováno v:
In Journal of Plastic, Reconstructive & Aesthetic Surgery May 2024 92:11-25
In this paper, we evolve from sparsity, a key concept in robust statistics, to concepts and theoretical results of what we call the mathematics of resilience, at the interface between category theory, the theory of dynamical systems, statistical sign
Externí odkaz:
http://arxiv.org/abs/2009.09666
The goal of this paper is to advance an extensible theory of living systems using an approach to biomathematics and biocomputation that suitably addresses self-organized, self-referential and anticipatory systems with multi-temporal multi-agents. Our
Externí odkaz:
http://arxiv.org/abs/1710.03571
Publikováno v:
In Progress in Biophysics and Molecular Biology December 2017 131:193-212
Publikováno v:
In Journal of Plastic, Reconstructive & Aesthetic Surgery May 2016 69(5):598-603
Publikováno v:
Machine Learning and Knowledge Extraction; Volume 5; Issue 2; Pages: 597-610
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 syst
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Publikováno v:
In Progress in Biophysics and Molecular Biology December 2015 119(3):347-359