Extraction of knowledge from multimodal flows
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2015), pp. 145-152.

Voir la notice de l'article provenant de la source Math-Net.Ru

The problem of knowledge acquisition from unstructured multi-modal data streams is considered in the context of the construction by the mobile robot, immersed in a real environment, the epistemology, allowing it to achieve the successful implementation of the desired functionality. The recursive cognitive multi-agent architecture is used as the basis of adaptive robot control system. Self-organization of that architecture results in the construction of causal dependencies, expressed in terms of production rules, forming in the knowledge bases of agents. A program for 3D-visualization has been developed. An example of the construction of the epistemology of the robot based on multi-modal data is presented.
Keywords: multiagent cognitive architectures, knowledge acquisition, multimodal data streams
Mots-clés : mobile robots.
@article{IZKAB_2015_6-2_a23,
     author = {Z. V. Nagoev and O. V. Nagoeva},
     title = {Extraction of knowledge from multimodal flows},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {145--152},
     publisher = {mathdoc},
     number = {6-2},
     year = {2015},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a23/}
}
TY  - JOUR
AU  - Z. V. Nagoev
AU  - O. V. Nagoeva
TI  - Extraction of knowledge from multimodal flows
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2015
SP  - 145
EP  - 152
IS  - 6-2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a23/
LA  - ru
ID  - IZKAB_2015_6-2_a23
ER  - 
%0 Journal Article
%A Z. V. Nagoev
%A O. V. Nagoeva
%T Extraction of knowledge from multimodal flows
%J News of the Kabardin-Balkar scientific center of RAS
%D 2015
%P 145-152
%N 6-2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a23/
%G ru
%F IZKAB_2015_6-2_a23
Z. V. Nagoev; O. V. Nagoeva. Extraction of knowledge from multimodal flows. News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2015), pp. 145-152. http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a23/

[1] K. Ziksin, A. V. Timofeev, “Intellektualnoe navigatsionnoe upravlenie i diagnostika adaptivnykh mobilnykh robotov v neznakomoi srede”, Materialy mezhdunarodnoi multikonferentsii «Aktualnye problemy informatsionno-kompyuternykh tekhnologii, mekhatroniki i robototekhniki», Divnomorskoe, 2009

[2] E. V. Koryagin, “Razrabotka vysokourovnevoi sistemy upravleniya antropomorfnym robotom”, Neiroinformatika, 7:1 (2013)

[3] E. V. Koryagin, “Razrabotka sistemy upravleniya mobilnym robotom”, Vestnik Baltiiskogo federalnogo universiteta im. I. Kanta, 2010, no. 10

[4] D. Michi, R. Dzhonston, Kompyuter tvorets, per. s angl., Mir., M., 1987, 255 pp. (Predisl. D.A. Pospelova)

[5] Z. V. Nagoev, Intellektika ili myshlenie v zhivykh i iskusstvennykh sistemakh, Izdatelstvo KBNTs RAN., Nalchik:, 2013, 211 pp.

[6] Z. V. Nagoev, Metody prinyatiya reshenii i upravleniya v nestrukturirovannykh zadachakh na osnove samoorganizuyuschikhsya multiagentnykh rekursivnykh kognitivnykh arkhitektur, diss ... d-ra tekhn. nauk, Nalchik, 2013, 304 pp.

[7] Z. V. Nagoev, “Multiagentnye ekzistentsialnye otobrazheniya i funktsii”, Izvestiya KBNTs RAN, 2013, no. 4 (54), 64–71

[8] Styuart Rassel, Piter Norvig, Iskusstvennyi intellekt: sovremennyi podkhod (AIMA) = Artificial Intelligence: A Modern Approach (AIMA), 2-e izd., Vilyams., M., 2007, 1424 pp.

[9] Yu. V. Chernukhin, Yu. S. Dolenko, P. A. Butov, “Bionicheskie podkhody k obrabotke sensornoi informatsii v neirosetevykh sistemakh upravleniya intellektualnykh mobilnykh robotov”, Izvestiya Yuzhnogo federalnogo universiteta. Tekhnicheskie nauki, 130:5 (2012)

[10] Yu. V. Chernukhin, R. V. Saprykin, “Neirosetevoi algoritm samoobucheniya intellektualnykh agentov, izuchayuschikh svoistva sredy funktsionirovaniya”, Izvestiya YuFU. Tekhnicheskie nauki, 2007, no. 5

[11] V. A. Yaschenko, “Nekotorye aspekty «nervnoi deyatelnosti» intellektualnykh sistem i robotov”, Iskusstvennyi intellekt, 2009, no. 3

[12] V. A. Yaschenko, “Petseptorno-effektornye neiropodobnye rastuschie seti effektivnoe sredstvo modelirovaniya intellekta”, Kibernetika i sistemnyi analiz, 1995, no. 4, 54–62

[13] V. A. Yaschenko, “Petseptorno-effektornye neiropodobnye rastuschie seti effektivnoe sredstvo modelirovaniya intellekta”, Kibernetika i sistemnyi analiz, 1995, no. 5, 94–102

[14] Autonomous_car https://en.wikipedia.org/wiki/Autonomous_car

[15] E. Bastianelli, D. Bloisi, R. Capobianco, G. Gemignani, L. Iocchi, D. Nardi, “Knowledge Representation for Robots through Human-Robot Interaction”, Knowledge Representation and Reasoning in Robotics, 2013

[16] https://animatlab.com

[17] https://ru.wikipedia.org/wiki/Darwin

[18] Furao Shen, Osamu Hasegawa, “Self-organizing Incremental Neural Network and its Applications”, Tutorial, International Joint Conference on Neural Networks (IJCNN 2009)

[19] SLAM https://en.wikipedia.org/wiki/Simultaneous_localization_and_mapping