Geodesic
Multi-agent neurocognitive models of semantics of spatial localization of events
News of the Kabardin-Balkar scientific center of RAS, no. 2 (2019), pp. 11-23.

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The paper proves that the multi-agent neurocognitive architecture is an effective formalism for describing the semantics of the spatial localization of events. It is shown that locative software agents that describe the spatial location of objects and events, forming homogeneous connections, form the so-called field locations, describing a holistic view of the intellectual agent of the environment.
Keywords: neurocognitive model, semantics, multiagent systems, localization, cognitive architecture. 
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Z. V. Nagoev; O. V. Nagoeva; I. A. Pshenokova. Multi-agent neurocognitive models of semantics of spatial localization of events. News of the Kabardin-Balkar scientific center of RAS, no. 2 (2019), pp. 11-23. http://geodesic.mathdoc.fr/item/IZKAB_2019_2_a1/

[1] Nagoev Z. V. Intellektika, ili Myshleniye v zhivykh i iskusstvennykh sistemakh [Intellectics, or Thinking in living and artificial systems], Publishing House of KBSC RAS, Nalchik, 2013, 211 pp.

[2] Z. V. Nagoev, Metody prinyatiya resheniy i upravleniya v nestrukturirovannykh zadachakh na osnove samoorganizuyushchikhsya mul'tiagentnykh rekursivnykh kognitivnykh arkhitektur [Decision making and control methods in unstructured tasks based on self-organizing multi-agent recursive cognitive architectures], diss. d-ra tekhn. nauk: [Thesis for Dr. Technical Sciences], Nalchik, 2013, 304 pp.

[3] Z. V. Nagoev, O. V. Nagoeva, “Modelirovaniye semantiki slovosochetaniy s atributivnymi prilagatel'nymi na osnove mul'tiagentnoy rekursivnoy kognitivnoy arkhitektury [Modeling seman-tics of word combinations with attribute adjectives based on multi-agent recursive cognitive ar-chitecture]”, Izvestiya Kabardino-Balkarskogo nauchnogo tsentra RAN [News of the Kabardin-Balkar Scientific Center of the Russian Academy of Sciences], 2018, no. 3 (83), 11–20

[4] Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, “Formal'naya model' semantiki yestestvenno-yazykovykh vyskazyvaniy na osnove mul'tiagentnykh rekursivnykh kognitivnykh arkhitektur [Formal model of semantics of natural language statements based on multi-agent recursive cognitive ar-chitectures]”, Izvestiya KBNTS RAN [News of the Kabardin-Balkar Scientific Center of the Rus-sian Academy of Sciences], 2017, no. 4 (78), 19–31, KBSC RAS Publishing House, Nalchik

[5] O. V. Nagoeva et al, “Sistemy ponimaniya rechi i modeli predstavleniya semantiki [Speech Understanding Systems and Semantics Representation Models]”, Izvestiya KBNTS RAN [News of KBSC RAS], 2014, no. 5 (61), 64–71, KBSC RAS Publishing House, Nalchik

[6] “Hippocampus-independent phase precession in entorhinal grid cells”, Nature, 453 (2008), 1248–1252 | DOI

[7] Z. V. Nagoev, “Multiagent recursive cognitive architecture”, Biologically Inspired Cognitive Architectures 2012, Proceedings of the third annual meeting of the BICA Society, Advances in Intelligent Systems and Computing series, Springer, 2012, 247–248

[8] V. S. Ramachandran, The Tell-Tale Brain: A Neuroscientist's Quest for What Makes Us Human, W. W. Norton Company, New York, 357 pp.

[9] T. Solstad, C. N. Boccara, E. Kropff, M. B. Moser, E. I. Moser, “Representation of geo-metric borders in the entorhinal cortex”, Science, 322, 1865–1868 | DOI

[10] GUO Renzhong, “Spatial objects and spatial relationships”, Geo-spatial Information Science, 1:1 (1998), 38–42 | DOI

[11] http://www.dissercat.com/content/prostranstvennye-otnosheniya-v-sovremennom-russkom-yazyke-semantika-i-sredstva-vyrazheniya