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.
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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|Item Type:||Journal Article|
|Keywords:||Social coordination, bifurcations, decision making|
|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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