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This article is cited in 1 scientific paper (total in 1 paper)
System analysis, management and information processing
Neurocognitive mappings and functions for neuromorphogenesis models
in control systems of intelligent ontophylogenetic agents
Z. V. Nagoevab a Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences,
360010, Russia, Nalchik, 2 Balkarov street
b Institute of Computer Science and Problems of Regional Management –
branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences,
360000, Russia, Nalchik, 37-a I. Armand street
Abstract:
The main scientific problem of this work is the need to develop a formal apparatus for
describing processes of onto-neuromorphogenesis, growth and development of axo-dendronal connections
among agent neurons in the control neurocognitive architectures of intelligent software agents. The aim of
the study is to develop a formal apparatus describing the interaction among elements of multi-agent
neurocognitive architectures of agents of universal artificial intelligence. A formal apparatus has been
developed to describe multi-agent neurocognitive architectures and processes of situationally
conditioned growth and degradation of associative connections in them, inspired by the processes of
growth and degradation of axo-dendronal connections in human brain. For the first time concepts have
been introduced and formal definitions have been given for multi-agent spaces, coordinates, axes,
metrics, protocols, dialogues, replicas and multi-replicas, neurogenesis functions, presynaptic and
postsynaptic terminals, correlation and trust coefficients, activation and trust functions, synapses,
which are necessary for recording and calculating contracts among actors as part of cognitive architectures
of agneurons. For the first time neuro-cognitive functions (mappings) have been introduced that describe
the processes of ontoneuromorphogenesis in neurocognitive architectures of intelligent agents.
Keywords:
artificial intelligence, multi-agent systems, neurocognitive architectures, neuromorphogenesis, machine learning, ontophylogenetic agents
Received: 29.11.2024 Revised: 09.12.2024 Accepted: 10.12.2024
Citation:
Z. V. Nagoev, “Neurocognitive mappings and functions for neuromorphogenesis models
in control systems of intelligent ontophylogenetic agents”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 26:6 (2024), 188–196
Linking options:
https://www.mathnet.ru/eng/izkab922 https://www.mathnet.ru/eng/izkab/v26/i6/p188
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