From Neuromorphic to Sociomorphic Materials: Perspectives and Prognoses

Guardado en:
Detalles Bibliográficos
Publicado en:Symmetry vol. 17, no. 12 (2025), p. 2110-2141
Autor principal: Shaltykova Dina
Otros Autores: Sedláková Zdenka, Kopishev Eldar, Ibragim, Suleimenov
Publicado:
MDPI AG
Materias:
Acceso en línea:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

MARC

LEADER 00000nab a2200000uu 4500
001 3286357746
003 UK-CbPIL
022 |a 2073-8994 
024 7 |a 10.3390/sym17122110  |2 doi 
035 |a 3286357746 
045 2 |b d20250101  |b d20251231 
084 |a 231635  |2 nlm 
100 1 |a Shaltykova Dina  |u National Engineering Academy of the Republic of Kazakhstan, Almaty 050010, Kazakhstan; shaltykova.d@mail.ru 
245 1 |a From Neuromorphic to Sociomorphic Materials: Perspectives and Prognoses 
260 |b MDPI AG  |c 2025 
513 |a Review 
520 3 |a Based on a review of the current literature reflecting the results obtained in the field of synthesis and studying of neuromorphic materials and complex networks of various natures, a new interpretation of the term “sociomorphic materials” is proposed, aligning with philosophical views on the nature of complex systems. It is shown that the current level of research in the field of complex systems allows for the formulation and resolution of the problem of finding general regularities inherent to such systems, regardless of their nature. The basis for this is, among other things, the principle of dialectical symmetry, which treats information as a dialectical category paired with the category of matter. In the foreseeable future, sociomorphic materials may serve as a tool for simulating processes occurring in society, which is itself inherently a complex system. Furthermore, such systems could act as a “mediator” enabling direct contact with the transpersonal level of information processing—resources of which remain largely untapped. The relevance of establishing such contact is emphasized. The paper also discusses the chemical mechanisms that support the transition from neuromorphic to sociomorphic materials. 
653 |a Polymers 
653 |a Approximation 
653 |a Complex systems 
653 |a Data processing 
653 |a Humanities 
653 |a Artificial intelligence 
653 |a Dialectics 
653 |a Consciousness 
653 |a Brain research 
653 |a Personality 
653 |a Logic 
653 |a Neural networks 
653 |a Classification 
700 1 |a Sedláková Zdenka  |u Institute of Macromolecular Chemistry, Czech Academy of Sciences, 16200 Prague, Czech Republic; sedlakova@imc.cas.cz 
700 1 |a Kopishev Eldar  |u National Engineering Academy of the Republic of Kazakhstan, Almaty 050010, Kazakhstan; shaltykova.d@mail.ru 
700 1 |a Ibragim, Suleimenov  |u National Engineering Academy of the Republic of Kazakhstan, Almaty 050010, Kazakhstan; shaltykova.d@mail.ru 
773 0 |t Symmetry  |g vol. 17, no. 12 (2025), p. 2110-2141 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3286357746/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3286357746/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3286357746/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch