Abstract
The article presents a new approach to building semantic maps based on the use of the eBICA model and the calculation of neurophysiological correlates of behavioral motives based on fMRI data. In this study, a social videogame paradigm was used in combination with fMRI and other recording tools. The obtained data show the complex neural network dynamics of behavioral motives distributed on the cortical and subcortical regions of the brain, related to the interaction of a person with the collaborative non-player character powered by the eBICA cognitive architecture.
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References
Samsonovich AV, Goldin RF, Ascoli GA (2010) Toward a semantic general theory of everything. Complexity 15(4):12–18. https://doi.org/10.1002/cplx.20293
Samsonovic AV, Ascoli GA (2010) Principal semantic components of language and the measurement of meaning. PLoS ONE 5(6):e10921
Samsonovich AV (2013) Emotional biologically inspired cognitive architecture. Biol Inspired Cogn Arch 6:109–125
Samsonovich AV (2018) On semantic map as a key component in socially-emotional BICA. Biol Inspired Cogn Arch 23:1–6
Samsonovich AV (2018) Schema formalism for the common model of cognition. Biol Inspired Cogn Arch 26:1–19. https://doi.org/10.1016/j.bica.2018.10.008
Samsonovich AV, Kuznetsova K (2018) Semantic-map-based analysis of insight problem solving. Biol Inspired Cogn Arch 25:37–42. https://doi.org/10.1016/j.bica.2018.07.017
Orlov VA, Ushakov VL, Kartashov SI, Malakhov DG, Korosteleva AN, Skiteva LI, Samsonovich AV (2018) Functional neural networks in behavioral motivations. In: Advances in neural computation, machine learning, and cognitive research II, NEUROINFORMATICS 2018. Studies in computational intelligence, vol 799. Springer, Cham, pp 274–283. https://doi.org/10.1007/978-3-030-01328-8_33
Azarnov DA, Chubarov AA, Samsonovich AV (2018) Virtual actor with social- emotional intelligence. Procedia Comput Sci 123:76–85. https://doi.org/10.1016/j.procs.2018.01.013
Chubarov A, Azarnov D (2017) Modeling behavior of Virtual Actors: A limited Turing test for social-emotional intelligence. In: Advances in intelligent systems and computing, vol 636. Springer, Cham, pp 34–40. ISBN 978-3-319-63939-0
Bortnikov PA, Samsonovich AV (2017) A simple Virtual Actor model supporting believable character reasoning in virtual environments. In: Advances in intelligent systems and computing, vol 636. Springer, Cham, pp 17–26
Acknowledgements
This work was in part supported by the Russian Science Foundation, grant 18-11-00336 (data preprocessing algorithms) and by the Russian Foundation for Basic Research, grants ofi-m 17-29-02518 (study of thinking levels). The authors are grateful to the MEPhI Academic Excellence Project for providing computing re-sources and facilities to perform experimental data processing.
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Ushakov, V.L., Orlov, V.A., Kartashov, S.I., Shigeev, S.V., Samsonovich, A.V. (2020). Neuro-Correlates of the eBICA Model. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_69
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DOI: https://doi.org/10.1007/978-3-030-25719-4_69
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