Titlebook: Introducing the Oscillations Based Paradigm; The Simulation of Ag Darius Plikynas Book 2016 Springer International Publishing Switzerland 2

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Oscillations-Based Simulation of Human Brain EEG Signal Dynamics Using Coupled Oscillators Energy Eon and further refinements of this biologically inspired experimental model helped to define features of our artificially constructed OAM in the OSIMAS paradigm. Hence, oscillation-based modeling of human brain EEG signals oscillations, using a refined Kuramoto model (Pessa and Vitiello 2004), not o

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OAM Simulation Setup and Results Using Entropy and Free Energy Terms,pectral data analysis of brainwaves, which paves the way for a putative link between the conceptual oscillations-based OSIMAS framework and the empirically observed coherent bioelectromagnetic oscillations of ensembles of neurons in the brain (EEG spectra).

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,OAM-Based MAS: Collective Circadian Rhythms’ Simulation Setup and Results,he OAM-based MAS simulation is oriented to reveal the basic conditions and parameters for the emergence of some coherent group-wide behaviors. In turn, the modeling of these conditions and parameters should add a conceptually novel understanding of social phenomena and new ways to model MAS.

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d, neurodynamic processes.Provides the fundamental concepts,.The book presents a conceptually novel oscillations based paradigm, the Oscillation-Based Multi-Agent System (OSIMAS), aimed at the modelling of agents and their systems as coherent, stylized, neurodynamic processes. This paradigm links em

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Synopsis, framework essentially arises because these fields share a common object of investigation and simulation, i.e., individual and collective human behavior. Although the fields of research mentioned above all approach this from different perspectives, their common object of investigation unites them.