Towards oscillations-based simulation of social systems: a neurodynamic approach

Autor:	Darius Plikynas, Gytis Basinskas, Algirdas Laukaitis
Rok vydání:	2014
Předmět:	Cognitive science Subconscious Computer science media_common.quotation_subject Multi-agent system Experimental validation Human-Computer Interaction Social neuroscience Artificial Intelligence Social system Multidisciplinary approach Baseline (configuration management) Software media_common
Zdroj:	Connection Science. 27:188-211
ISSN:	1360-0494 0954-0091
DOI:	10.1080/09540091.2014.956293
Popis:	This multidisciplinary work presents synopsis of theories in the search for common field-like fundamental principles of self-organisation and communication existing on quantum, cellular, and even social levels. Based on these fundamental principles, we formulate conceptually novel social neuroscience paradigm OSIMAS, which envisages social systems emerging from the coherent neurodynamical processes taking place in the individual mind-fields. In this way, societies are understood as global processes emerging from the superposition of the conscious and subconscious mind-fields of individual members of society. For the experimental validation of the biologically inspired OSIMAS paradigm, we have designed a framework of EEG-based experiments. Initial baseline individual tests of spectral cross-correlations of EEG-recorded brainwave patterns for some mental states have been provided in this paper. Preliminary experimental results do not refute the main OSIMAS postulates. This paper also provides some insights for the construction of OSIMAS-based simulation models.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::66b768473a082f3a29379632bc6846be https://doi.org/10.1080/09540091.2014.956293 Zobrazit plný text záznamu