Autonomous formation of spatial ontologies
News of the Kabardin-Balkar scientific center of RAS, no. 6 (2020), pp. 68-79.

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

The paper contains the results on autonomous ontologies formation gained with the help of controlling neurocognitive architecture deployed on an autonomous mobile agricultural robot. The basic principles of the automatic construction of ontologies of intelligent agents based on multi-agent neurocognitive architectures are formed. A multi-agent algorithm for synthesizing the behavior of an intelligent agent, aimed at the autonomous formation of the missing spatial ontology elements "on demand" by completing neurocognitive architectures has been developed. An algorithm for building such ontologies with the help of growth and development of a set and connections of agents-neurons in the body of controlling multiagent neurocognitive architecture of an intelligent agent has been composed.
Keywords: artificial intelligence, robotics, neural networks, cognitive architectures, multiagent systems
Mots-clés : ontologies.
@article{IZKAB_2020_6_a6,
     author = {Z. V. Nagoev and K. Ch. Bzhikhatlov and I. A. Pshenokova and O. V. Nagoeva and B. A. Atalikov and N. A. Chechenova and D. A. Malyshev},
     title = {Autonomous formation of spatial ontologies},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {68--79},
     publisher = {mathdoc},
     number = {6},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2020_6_a6/}
}
TY  - JOUR
AU  - Z. V. Nagoev
AU  - K. Ch. Bzhikhatlov
AU  - I. A. Pshenokova
AU  - O. V. Nagoeva
AU  - B. A. Atalikov
AU  - N. A. Chechenova
AU  - D. A. Malyshev
TI  - Autonomous formation of spatial ontologies
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2020
SP  - 68
EP  - 79
IS  - 6
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2020_6_a6/
LA  - ru
ID  - IZKAB_2020_6_a6
ER  - 
%0 Journal Article
%A Z. V. Nagoev
%A K. Ch. Bzhikhatlov
%A I. A. Pshenokova
%A O. V. Nagoeva
%A B. A. Atalikov
%A N. A. Chechenova
%A D. A. Malyshev
%T Autonomous formation of spatial ontologies
%J News of the Kabardin-Balkar scientific center of RAS
%D 2020
%P 68-79
%N 6
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2020_6_a6/
%G ru
%F IZKAB_2020_6_a6
Z. V. Nagoev; K. Ch. Bzhikhatlov; I. A. Pshenokova; O. V. Nagoeva; B. A. Atalikov; N. A. Chechenova; D. A. Malyshev. Autonomous formation of spatial ontologies. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2020), pp. 68-79. http://geodesic.mathdoc.fr/item/IZKAB_2020_6_a6/

[1] T. Brun, P. Poyet, M. Bopp, F. Vigier, “Towards an agricultural ontology in France: Contributions of the farm Information Management Project (GIEA) \date July 25-28, 2005”, EFITA/WCCA 2005 Joint Conference,, 1296–1302, Vila Real, Portugal

[2] T. Hafting, M. Fyhn, T. Bonnevie, M. B. Moser, E. I. Moser, “Hippocampus-independent phase precession in entorhinal grid cells”, Nature. 453:7199 (2008), 1248–1252 | DOI

[3] P. M. Ivanov, O. B. Makarevich, Z. V. Nagoev, “A situational analysis and synthesis of intellectual behavior in enveloping security systems based on the automatic representation of multi-agent cognitive architectures”, News of the Kabardino-Balkarian Scientific Center of RAS, 4 (2013), 29–36

[4] Kadeghe G. Fue, Wesley M. Porter, Edward M. Barnes, Glen C. Rains, “An Extensive Review of Mobile Agricultural Robotics for Field Operations: Focus on Cotton Harvesting”, AgriEngineering., 2020., no. 2(1), 150–174 | DOI

[5] Z. V. Nagoev, Decision making and in unstructured tasks based on self-organizing multi-agent recursive cognitive architectures., Thesis for the Dissertation for Degree of Doctor of Technical Sciences., Nalchik, 2013, 304 pp.

[6] Z. V. Nagoev, Intellectics or thinking in living and artificial systems, KBSC RAS Publishing house, Nalchik, 2013, 211 pp.

[7] Z. V. Nagoev, O. V. Nagoeva, “Formal model of semantics of natural language statements and the process of understanding these statements based on self-organizing cognitive architectures”, News of the Kabardino-Balkarian Scientific Center of RAS, 2017., no. 4 (78), 19–31

[8] Z. V. Nagoev, I. A. Gurtueva, “The basic elements of a cognitive model of the mechanism of speech perception based on multi-agent recursive intelligence”, News of the Kabardino-Balkarian Scientific Center of RAS, 3 (2019), 3–14 | DOI

[9] Z. V. Nagoev, O. V. Nagoeva, “Modeling the semantics of collocations with attributive adjectives based on multi-agent recursive cognitive architecture”, News of the Kabardino-Balkarian Scientific Center of RAS., 2018., no. 3(83), 11–20

[10] Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, “Multiagent neurocognitive models of the semantics of spatial localization of events”, News of the Kabardino-Balkarian Scientific Center of RAS, 2 (2019), 11–23 | DOI

[11] Z. Nagoev, I. Pshenokova, I. Gurtueva, K. Bzhikhatlov, “A simulation model for the cognitive function of static objects recognition based on machine-learning multi-agent architectures”, Advances in Intelligent Systems and Computing, 948 (2020), 370–378 | DOI

[12] Z. Nagoev, O. Nagoeva, I. Gurtueva, V. Denisenko, “Multi-agent algorithms for building semantic representations of spatial information in a framework of neurocognitive architecture”, Advances in Intelligent Systems and Computing, 948 (2020), 379–386 | DOI

[13] Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, I. A. Gurtueva, “Multi-agent model of se-mantics of simple extended sentences describing static scenes”, Lecture notes in computer science., 11659 (2019), 245–259 | DOI

[14] F. Pinet, P. Ventadour, T. Brun, P. Papajorgji, C. Roussey, F. Vigier, “Using UML for Ontology Construction: a Case Study in Agriculture”, Seventh Agricultural Ontology Service (AOS) Workshop on “Ontology-Based Knowledge Discovery: Using Metadata and Ontologies for Improving Access to Agricultural Information” \date 9-10 November 2006, Fifth International Conference of the Asian Federation for Information Technology in Agriculture (AFITA)., (India Ltd, Bangalore, India), 735–739

[15] T. Solstad, C. N. Boccara, E. Kropff, M. B. Moser, E. I. Mose, “Representation of geometric borders in the entorhinal cortex”, Science., 2008., no. 322(5909), 1865–1868 | DOI

[16] P. Shvaiko, J. Euzenat, “Schema, ontology matching”, ESWC'05, Tutorial, 2005 | Zbl

[17] V. Soulignac, F. Barnabe, D. Rat, F. David, “SIGEMO: computerized system for the management of the speading of organic products. From functional specifications to the operational tool.”, Ingenieries E A T, METHODO / SYNERGIE, 2006, no. 47, 37–42

[18] V. Soulignac, J. P. Chanet, J. L. Paris, O. Devise, N. Gondran, “Knowledge management and innovative design, state of the art”, 11th International Conference on the Modern Information Technology in the Innovation Processes of the industrial enterprises (Bergamo, Italy), 2009

[19] Stuart Russell, Peter Norvig, Artificial Intelligence: A Modern Approach., Third Edition., Prentice Hall, 2009, 1109 pp.

[20] M. Visoli, S. Ternes, F. Pinet, J. P. Chanet, A. Miralles, S. Bernard, G. De Sousa, “Computational architecture of OTAG project”, Proceedings of the 7th EFITA Conference (Wageningen, Netherlands, 6-8 July 2009), 165–172

[21] M. Visoli, S. Ternes, J. P. Chanet, F. Pinet, G. De Sousa, A. Miralles, OTAG information system, Cemagref Embrapa, Clermont-Fd, 2008, 15 pp.