Geodesic
Knowledge representation in artificial intelligence
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2015), pp. 158-165

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The article provides the knowledge representation format in intelligent systems of decision-making based on the modeling of self-organization processes of so-called multi-agent recursive cognitive architectures (MuRCA). Elements of self-organizing MuRCA that manifest independent behavior of a goaldirected agent, that provide a possibility to make contracts for energy and information exchange, software infrastructure of agents creation and editing have been developed. 
@article{IZKAB_2015_6-2_a25,
     author = {I. A. Pshenokova and V. A. Denisenko and O. V. Nagoeva and D. G. Tokmakova and Z. A. Sundukov},
     title = {Knowledge representation in artificial intelligence},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {158--165},
     publisher = {mathdoc},
     number = {6-2},
     year = {2015},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a25/}
}
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I. A. Pshenokova; V. A. Denisenko; O. V. Nagoeva; D. G. Tokmakova; Z. A. Sundukov. Knowledge representation in artificial intelligence. News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2015), pp. 158-165. http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a25/