Can IT Support a Structural-Phenomenology Based on Category Theory?
Can IT Support a Structural-Phenomenology Based on Category Theory?
Author(s): Gheorghe M. ȘtefanSubject(s): Phenomenology, ICT Information and Communications Technologies
Published by: Editura Academiei Române
Keywords: structural-phenomenology; category theory; deep neural networks; nonlinearity; nonformal;
Summary/Abstract: In 2000 Mihai Draganescu published the work Categories and Functors for the StructuralPhenomenologial Modeling in which the idea of using category theory to address the limit problems of knowledge is developed in the form of an envelope theory. Thus is defined a mathematical structural-phenomenological theory of categories. In this paper we try to take the first steps towards a detailed theory. A first step involves considering categories defined as artificial neural networks, and a second step is based on a hybrid approach that brings circuits and living entities to the same silicon die.
Journal: NOEMA
- Issue Year: XXI/2022
- Issue No: 2
- Page Range: 4-11
- Page Count: 8
- Language: English