News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2025 Volume 27, Issue 5,Pages 80–97(Mi izkab959)
System analysis, management and information processing
Concept for collaborative system for automatic virtual
prototyping of neuroprostheses based on epistemological algorithms
for learning intelligent software agents
Abstract:
The development and implementation of neuroprosthetics is urgently needed to improve the
functionality and effectiveness of technical rehabilitation tools for patients with lost or partially damaged
organs, as well as to enhance their quality of life. The development of prosthetics, in its broadest sense, is
linked to the need to address a range of challenges related to ensuring the structural and functional
compatibility of complex artificial hardware and software devices with the tissues and systems of
biological organisms.
Aim. The study is to develop and substantiate the concept of a system for autonomous collaborative
design of neurocompatible prostheses.
Materials and methods. The object of this study is a methodology for creating an infrastructure for
collaborative automated design and prototyping of neurocompatible prostheses. The subject of the study
is the feasibility of developing a system for collaborative design and prototyping of neurocompatible
prostheses based on intelligent software neurocognitive agents.
Results. A concept for autonomous collaborative design systems for neurocompatible prostheses has
been developed and validated. Key requirements for intelligent control systems for neurocompatible
prostheses and principles for their creation based on collaborative human-machine systems for autonomous
design and prototyping have been developed. The feasibility of creating and developing an architecture for
a collaborative autonomous design system for neurocompatible prostheses based on intelligent software
neurocognitive agents has been substantiated.
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