Evolving Cognitive Architectures
Alexander Serov

TL;DR
This paper advocates for an evolutionary approach to cognitive architectures, emphasizing the development of universal, adaptable systems capable of higher nervous functions through semiotics and constructivism.
Contribution
It introduces a novel evolutionary framework for cognitive architectures that integrates semiotics and constructivist theories to enhance adaptability and universality.
Findings
Proposes a functional core for autonomous agents
Highlights the importance of semiotics in cognitive development
Discusses mechanisms for initiating cognition in postnatal development
Abstract
This article proposes a research and development direction that would lead to the creation of next-generation intelligent technical systems. A distinctive feature of these systems is their ability to undergo evolutionary change. Cognitive architectures are now one of the most promising ways to create Artificial General Intelligence systems. One of the main problems of modern cognitive architectures is an excessively schematic approach to modeling the processes of cognitive activity. It does not allow the creation of a universal architecture that would be capable of reproducing higher nervous functions without using a predetermined set of perception patterns. Our paper proposes an evolutionary approach to creating a cognitive architecture. The basis of this approach is the use of a functional core, which consistently generates the intellectual functions of an autonomous agent. We are…
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Taxonomy
TopicsPsychiatry, Mental Health, Neuroscience · Artificial Intelligence in Education · Computability, Logic, AI Algorithms
