ON THE ROLE OF «PATTERN» AND «SYMBOL» CONCEPTS FOR SIMULATION OF THE THINKING PROCESS VIA NEUROCOMPUTING
Cite this article as:
Chernavskaya О. D., Chernavskii D. S., Karp V. P., Nikitin А. P. ON THE ROLE OF «PATTERN» AND «SYMBOL» CONCEPTS FOR SIMULATION OF THE THINKING PROCESS VIA NEUROCOMPUTING. Izvestiya VUZ. Applied Nonlinear Dynamics, 2011, vol. 19, iss. 6, pp. 5-20. DOI: https://doi.org/10.18500/0869-6632-2011-19-6-5-20
The concepts of «pattern» and «symbol» and their functions are discussed in the context of «thinking» system of combined neuroprocessors. It is shown that the pattern subsystem does play a key role in recording and store of information. The symbol subsystem initiation provides the transition to conventional semantic information and communications with environment. The paradigm of attention within the scheme presented is secured by a parametric effect of symbol subsystem on the image one. It is shown that effect of neuron specificationnnspecialization is reproduced due to selforganization of the whole system. The system of dynamical nonlinear equations is proposed to combine the pattern and symbol subsystems and thus, to describe the «train of thought» within an individual thinking system.
1. Чернавский Д.С., Карп В.П., Родштат И.В., Никитин А.П., Чернавская Н.М. Распознавание. Аутодиагностика. Мышление. М.: Радиотехника, 2003.
2. Чернавская О.Д., Никитин А.П., Чернавский Д.С. Концепция интуитивного и логического в нейрокомпьютинге // Биофизика. 2009. Т. 54, № 6. C. 1103.
3. Чернавская О.Д., Чернавский Д.С., Карп В.П., Никитин А.П., Рожило Я.А. Процесс мышления в контексте динамической теории информации. Часть I: Основные цели и задачи мышления / Препринт ФИАН, 2011. № 10. 20 с.
4. Чернавский Д.С. Синергетика и информация: Динамическая теория информации. М.: Наука, 2001.
5. Александров Ю.И., Анохин К.В., Безденежных Б.Н., Гарина Н.С., Греченко Т.Н., Латанов А.В., Палихова Т.А., Савельев С.В., Соколов Е.Н., Тушмалова Н.А., Филиппов В.А., Черноризов А.М. Нейрон. Обработка сигналов. Пластичность. Моделирование. Фундаментальное руководство. Тюмень: Изд. ТГУ, 2008.
6. Fitz Hugh R. Impulses and physiological states in theoretical models of nerve membrane // Biophys. J. 1961. Vol. 1. P. 445; Nagumo J., Arimoto S., Yashukawa S. // Proc.IRE. 1962. Vol. 50. P. 2062.
7. Шамис А.С. Пути моделирования мышления. М.: КомКнига, 2006.
8. Hopfield J.J. Neural networks and physical systems with emergent collective computational abilities // PNAS 1982. Vol. 79. P. 2554.
9. McCulloch W.S., Pitts W. A logical calculus of the ideas immanent in nervous activity // Bulletin of Mathematical Biophysics. 1943. Vol. 5. P. 115.
10. Muller B., Reinhardt J. Neural networks. Springer Verlag, 1990.
11. Grossberg S. Studies of Mind and Brain. Boston: Riedel, 1982; The adaptive brain. Amsterdam: Elsevier/North-Holland, 1987.
12. Чернавский Д.С., Карп В.П., Васильев А.Н., Чернавская О.Д. Математическая модель процессора локализации образа / Препринт ФИАН № 9. 2011. 17 с.
13. Чернавский Д.С., Карп В.П., Никитин А.П., Чернавская О.Д. Схема конструкции из нейропроцессоров, способной реализовать основные функции мышления и научного творчества // Изв. вузов. Прикладная нелинейная динамика. 2011. Т. 19, № 6. С. 6.
14. Яхно В.Г., Полевая С.А., Парин С.Б. Базовая архитектура системы, описывающей нейробиологические механизмы осознания сенсорных сигналов // Когнитивные исследования: Сборник научных трудов. Вып. 4 / Под ред. Ю.И. Александрова, В.Д. Соколова. М.: Изд-во «Институт психологии РАН», 2010. С. 273.
BibTeX
author = {О. D. Chernavskaya and D S. Chernavskii and V. P. Karp and А. P. Nikitin },
title = {ON THE ROLE OF «PATTERN» AND «SYMBOL» CONCEPTS FOR SIMULATION OF THE THINKING PROCESS VIA NEUROCOMPUTING},
year = {2011},
journal = {Izvestiya VUZ. Applied Nonlinear Dynamics},
volume = {19},number = {6},
url = {https://old-andjournal.sgu.ru/en/articles/on-the-role-of-pattern-and-symbol-concepts-for-simulation-of-the-thinking-process-via},
address = {Саратов},
language = {russian},
doi = {10.18500/0869-6632-2011-19-6-5-20},pages = {5--20},issn = {0869-6632},
keywords = {Selforganization,thinking process,neurocomputing,dynamical theory of information,image,symbol,semantic information,specification,interaction,subsystem,attention.},
abstract = { The concepts of «pattern» and «symbol» and their functions are discussed in the context of «thinking» system of combined neuroprocessors. It is shown that the pattern subsystem does play a key role in recording and store of information. The symbol subsystem initiation provides the transition to conventional semantic information and communications with environment. The paradigm of attention within the scheme presented is secured by a parametric effect of symbol subsystem on the image one. It is shown that effect of neuron specificationnnspecialization is reproduced due to selforganization of the whole system. The system of dynamical nonlinear equations is proposed to combine the pattern and symbol subsystems and thus, to describe the «train of thought» within an individual thinking system. }}