BASAL (BASIC) COGNITION AS A METHOD FOR STUDYING COGNITIVE SYSTEMS FROM THE PERSPECTIVE OF PHILOSOPHICAL COMPREHENSION
Svetlana Anatolyevna Khmelevskaya, Angelina Victorovna Baeva, Tatiana Borisovna Stanishneva-Konovalova, Igor Alexandrovich Yaroshevich
Lomonosov Moscow State University, Moscow, Russia
Keywords: cognition, basal (basic) cognition, non-neural basis of cognition, TAME, artificial intelligence, brain, evolution, evolutionary epistemology, biogenic and anthropogenic approaches to cognition
Abstract
The article analyzes the concept of basal (basic) cognition, which, through the study of organisms functioning on a non-neural basis, concludes that they have rather complex information processing mechanisms necessary to learn about and assess the features of their internal state and the environment and interact with them productively in order to find ways to meet existential needs, the main of which are survival/sustainability, growth/prosperity and reproduction. Researchers call the mechanisms discovered at this level of biological organization basic, since they persist at higher levels of development. Basal cognition itself is considered as a method for studying cognitive systems on a non-neural basis, which can also be applied to the study of artificial intelligence. All this, according to the developers of the concept, makes it possible to build a synthetic theory of cognition that covers all levels of cognitive complexity. However, the authors of the article express doubts about the possibility of building such a theory, given that the analyzed concept describes cognitive processes in the language of physical-chemical-electrical processes, but this is not enough to reveal cognition at a higher level of cognitive complexity. The concept of basal cognition also fails to answer a number of questions: what is the demarcation criterion for drawing a line between the cognitive and non-cognitive, how does intentionality emerge, etc. At the same time, the concept has promising prospects not only for studying the development of the biological foundations of cognition but also for solving problems of artificial intelligence.
|
