TY - GEN
T1 - Modeling Intelligent Agents by Finite Machines
AU - Shukurova, A.
AU - Kumalakov, B.
AU - Zhukabayeva, T.
AU - Turaev, S.
N1 - Publisher Copyright:
© 2022 American Institute of Physics Inc.. All rights reserved.
PY - 2022/8/29
Y1 - 2022/8/29
N2 - Artificial intelligence applications are widely used in computer games, financial analysis, and real-time systems. In this paper we will consider artificial intelligence as computer systems that can successfully achieve their goals in a "complex environment". It is known from algorithm theory that any algorithm has a morphism into a finite automaton. On this basis, at a certain level of abstraction, we can hypothesize that a mind is equivalent to a finite state machine. On this basis, at a certain level of abstraction, it is proposed to study the hypothesis that a mind is equivalent to a finite state machine.
AB - Artificial intelligence applications are widely used in computer games, financial analysis, and real-time systems. In this paper we will consider artificial intelligence as computer systems that can successfully achieve their goals in a "complex environment". It is known from algorithm theory that any algorithm has a morphism into a finite automaton. On this basis, at a certain level of abstraction, we can hypothesize that a mind is equivalent to a finite state machine. On this basis, at a certain level of abstraction, it is proposed to study the hypothesis that a mind is equivalent to a finite state machine.
UR - http://www.scopus.com/inward/record.url?scp=85137687983&partnerID=8YFLogxK
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U2 - 10.1063/5.0106567
DO - 10.1063/5.0106567
M3 - Conference contribution
AN - SCOPUS:85137687983
T3 - AIP Conference Proceedings
BT - II International Scientific Forum on Computer and Energy Sciences, WFCES-II 2021
A2 - Nazarov, Dmitry
A2 - Saule, Sagintaeva
PB - American Institute of Physics Inc.
T2 - 2nd International Scientific Forum on Computer and Energy Sciences, WFCES-II 2021
Y2 - 11 November 2021 through 12 November 2021
ER -