Decision making in social neurobiological systems modeled as transitions in dynamic pattern formation

Araujo, Duarte, Diniz, Ana, Passos, Pedro, & Davids, Keith (2014) Decision making in social neurobiological systems modeled as transitions in dynamic pattern formation. Adaptive Behavior: animals, animats, software agents, robots, adaptive systems, 22(1), pp. 21-30.

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Extant models of decision making in social neurobiological systems have typically explained task dynamics as characterized by transitions between two attractors. In this paper, we model a three-attractor task exemplified in a team sport context. The model showed that an attacker–defender dyadic system can be described by the angle x between a vector connecting the participants and the try line. This variable was proposed as an order parameter of the system and could be dynamically expressed by integrating a potential function. Empirical evidence has revealed that this kind of system has three stable attractors, with a potential function of the form V(x)=−k1x+k2ax2/2−bx4/4+x6/6, where k1 and k2 are two control parameters. Random fluctuations were also observed in system behavior, modeled as white noise εt, leading to the motion equation dx/dt = −dV/dx+Q0.5εt, where Q is the noise variance. The model successfully mirrored the behavioral dynamics of agents in a social neurobiological system, exemplified by interactions of players in a team sport.

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7 citations in Scopus
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6 citations in Web of Science®

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ID Code: 80423
Item Type: Journal Article
Refereed: Yes
Keywords: Social coordination, bifurcations, decision making
DOI: 10.1177/1059712313497370
ISSN: 1059-7123
Subjects: Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Exercise & Nutrition Sciences
Deposited On: 21 Jan 2015 22:48
Last Modified: 30 Mar 2015 02:18

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