The general approach to creation of cognitive adaptive robots with imitative thinking and adaptive behavior as assistant to the person in various spheres of activity is covered in article. Researches and the analysis of language thinking of the person allow simulate cogitative communicative and associative symbolical and language functions. The communicative and associative symbolical and language logic of thinking allows create cognitive adaptive robots for various spheres of activity. The robot with symbolical language thinking has system of recognition of the interlocutor, system of speech input of information requirements, system of realization of information requirements (system of imitation of imitative thinking), neural network system of synthesis of the speech in the text of realization of information requirement. The system of realization of information requirement contains system of assimilation of knowledge, system of symbolical and language communication, system of training, the knowledge base, base of abilities, the neural network system of reading printing system and system of graphic display. The system of training contains subsystems of machine translation. The system of recognition of interlocutors is neural network system. Information unit of communication between the robot and the interlocutor is information requirement. The interlocutor uses information requirements which contain in the knowledge base of the robot. He communicates with the robot by means of combinations of information requirements, enriching, thereby, the robot with information requirements. The robot receives new basic information requirements, elements of knowledge and realization during his training. Acquaintance of the robot to the person is carried out through neural network system of a face recognition. If the person is unknown to the robot, then the receptive system remembers his speech dictionary and the person. If he is known to the robot, then the system will customize system of speech input of information requirement on the speech dictionary of the interlocutor. After that information contact between the robot and the person begins. The system of speech input will transform speech information requirement to the text in a functional natural language. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Cognitive adaptive robots with imitative thinking and adaptive behavior have prospect of broad practical application.
Published in | International Journal of Management and Fuzzy Systems (Volume 3, Issue 5) |
DOI | 10.11648/j.ijmfs.20170305.11 |
Page(s) | 57-66 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Cognitive Adaptive Robot, Communicative and Associative Knowledge Base, Symbolical and Language Logic of Thinking
[1] | Evgeniy G. Bryndin, Symbolical and language communicative and associative technology of imitative thinking. Inter. Conf. "High technologies, basic and applied researches, education". S-PB: PSTU Page 442-444. 2007. |
[2] | Evgeniy G. Bryndin, Theoretical bases of communicative and associative imitation of symbolical and language thinking. J. Information technologies. N. 2. Page 29-34. 2009. |
[3] | E. I. Yurevich, Intelligent robots. Publishing house: Mechanical engineering. 360 pages. 2007. |
[4] | Evgeniy G. Bryndin, The robot with communicative and associative imitation of symbolical and language thinking. Inter. Conf. "Intellectual tekhnolgiya in education, economy and management". Voronezh: ВИЭиСУ. Page 429-439. 2010. |
[5] | EvgenyBryndin. Bases of imitation of thinking and continuous processing of programs. Germany: LAP LAMBERT Academic Publishing. 197 pages. 2012. |
[6] | Evgeniy G. BryndinThe Robot with imitative thinking. "PNIPU bulletin: Electrical equipment, Information technologies, Control systems", N. 14. Perm: PNIPU. Pages 5-36. 2015. |
[7] | EvgenyBryndin. Control of the robot with imitative thinking. Germany: LAP LAMBERT Academic Publishing. 77 p. 2015. |
[8] | Nakano E. Introduction to robotics. M.: World. 334 p. 1988. |
[9] | Bryndin E. G. Interaction of the symbolical conceiving robot with the person and external environment. J."Information technologies", N. 6. M. Pages 2-8. 2004. |
[10] | Zenkevich S. L., Yushchenko A. S. Bases of control of handling robots. MSTU of N. E. Bauman. 480 pages. 2005. |
[11] | Ancestor M. Control units robots: Circuitry and programming/Control devices Robots: Circuitry and Programming. Publishing house: DMK Press. 416 pages. 2005. |
[12] | Potapova R. K. Speech control of the robot. Publishing house: Côme Book. 328 pages. 2005. |
[13] | D. William. The programmable robot operated with the PDA. - M.: NT Press. 224 pages. 2006. |
[14] | F. Zhimarsha. Assembly and programming of mobile robots in house conditions. M.: NT Press. 288 pages. 2007. |
[15] | Yurevich E. I. Fundamentals of robotics (+CD). SPb: BHV-St. Petersburg. 368 pages. 2010. |
[16] | Richard Grimmett. Raspberry Pi Robotic Projects. Publishing house: Packt Publishing. 278 p. 2014. |
[17] | Kathy Ceceri. Make: Making Simple Robots. Maker Media, Inc. 225 р. 2015. |
[18] | Egorov O. D., Podurayev Yu. V., Tambourines M. A. Robotic mekhatronny systems. Publishing house: Stankin. 328 p. 2015. |
[19] | AlaaAbdulhadyJaber, Robert Bicker. Industrial Robot Backlash Fault Diagnosis Based on Discrete Wavelet Transform and Artificial Neural Network. American Journal of Mechanical Engineering. V. 4, N. 1. pp 21-31. 2016. |
[20] | Vekker L. M. Mentality and reality: uniform theory of mental processes.M.: Sense. 685 p. 2000. |
[21] | Bryndin E. G., Bryndina I. E. Normalization of Cognitive Thinking by Healthy Lifestyle. ARC Journal of Public Health and Community Medicine. V. 1, Issue 2. PP 1-6. 2016. |
[22] | EvgeniyBryndin. Spiritual and scientific bases of health. Germany: LAMBERT Academic Publishing. 110 p.2016. |
[23] | Latypov N. N., Gavrilov D. A., Yolkin S. V. Engineering heuristics. M.: Astrel. 320 p. 2012. |
[24] | Evgeniy G. Bryndin, Cognitive robot consultant for a healthy lifestyle. III International scientific conference "Information Technologies in Science, Management, the Social Sphere and Medicine". TPU. Pages 484-488. 2016. |
[25] | Bryndin E. G. Cognitive robots. Inter. Conf. "Management of development of large-scale systems (MLSD’2016). M.: IPM RAS. Pages 285-294. 2016. |
APA Style
Evgeniy Bryndin. (2017). Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories. International Journal of Management and Fuzzy Systems, 3(5), 57-66. https://doi.org/10.11648/j.ijmfs.20170305.11
ACS Style
Evgeniy Bryndin. Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories. Int. J. Manag. Fuzzy Syst. 2017, 3(5), 57-66. doi: 10.11648/j.ijmfs.20170305.11
AMA Style
Evgeniy Bryndin. Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories. Int J Manag Fuzzy Syst. 2017;3(5):57-66. doi: 10.11648/j.ijmfs.20170305.11
@article{10.11648/j.ijmfs.20170305.11, author = {Evgeniy Bryndin}, title = {Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories}, journal = {International Journal of Management and Fuzzy Systems}, volume = {3}, number = {5}, pages = {57-66}, doi = {10.11648/j.ijmfs.20170305.11}, url = {https://doi.org/10.11648/j.ijmfs.20170305.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmfs.20170305.11}, abstract = {The general approach to creation of cognitive adaptive robots with imitative thinking and adaptive behavior as assistant to the person in various spheres of activity is covered in article. Researches and the analysis of language thinking of the person allow simulate cogitative communicative and associative symbolical and language functions. The communicative and associative symbolical and language logic of thinking allows create cognitive adaptive robots for various spheres of activity. The robot with symbolical language thinking has system of recognition of the interlocutor, system of speech input of information requirements, system of realization of information requirements (system of imitation of imitative thinking), neural network system of synthesis of the speech in the text of realization of information requirement. The system of realization of information requirement contains system of assimilation of knowledge, system of symbolical and language communication, system of training, the knowledge base, base of abilities, the neural network system of reading printing system and system of graphic display. The system of training contains subsystems of machine translation. The system of recognition of interlocutors is neural network system. Information unit of communication between the robot and the interlocutor is information requirement. The interlocutor uses information requirements which contain in the knowledge base of the robot. He communicates with the robot by means of combinations of information requirements, enriching, thereby, the robot with information requirements. The robot receives new basic information requirements, elements of knowledge and realization during his training. Acquaintance of the robot to the person is carried out through neural network system of a face recognition. If the person is unknown to the robot, then the receptive system remembers his speech dictionary and the person. If he is known to the robot, then the system will customize system of speech input of information requirement on the speech dictionary of the interlocutor. After that information contact between the robot and the person begins. The system of speech input will transform speech information requirement to the text in a functional natural language. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Cognitive adaptive robots with imitative thinking and adaptive behavior have prospect of broad practical application.}, year = {2017} }
TY - JOUR T1 - Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories AU - Evgeniy Bryndin Y1 - 2017/10/31 PY - 2017 N1 - https://doi.org/10.11648/j.ijmfs.20170305.11 DO - 10.11648/j.ijmfs.20170305.11 T2 - International Journal of Management and Fuzzy Systems JF - International Journal of Management and Fuzzy Systems JO - International Journal of Management and Fuzzy Systems SP - 57 EP - 66 PB - Science Publishing Group SN - 2575-4947 UR - https://doi.org/10.11648/j.ijmfs.20170305.11 AB - The general approach to creation of cognitive adaptive robots with imitative thinking and adaptive behavior as assistant to the person in various spheres of activity is covered in article. Researches and the analysis of language thinking of the person allow simulate cogitative communicative and associative symbolical and language functions. The communicative and associative symbolical and language logic of thinking allows create cognitive adaptive robots for various spheres of activity. The robot with symbolical language thinking has system of recognition of the interlocutor, system of speech input of information requirements, system of realization of information requirements (system of imitation of imitative thinking), neural network system of synthesis of the speech in the text of realization of information requirement. The system of realization of information requirement contains system of assimilation of knowledge, system of symbolical and language communication, system of training, the knowledge base, base of abilities, the neural network system of reading printing system and system of graphic display. The system of training contains subsystems of machine translation. The system of recognition of interlocutors is neural network system. Information unit of communication between the robot and the interlocutor is information requirement. The interlocutor uses information requirements which contain in the knowledge base of the robot. He communicates with the robot by means of combinations of information requirements, enriching, thereby, the robot with information requirements. The robot receives new basic information requirements, elements of knowledge and realization during his training. Acquaintance of the robot to the person is carried out through neural network system of a face recognition. If the person is unknown to the robot, then the receptive system remembers his speech dictionary and the person. If he is known to the robot, then the system will customize system of speech input of information requirement on the speech dictionary of the interlocutor. After that information contact between the robot and the person begins. The system of speech input will transform speech information requirement to the text in a functional natural language. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Cognitive adaptive robots with imitative thinking and adaptive behavior have prospect of broad practical application. VL - 3 IS - 5 ER -