Interpersonal pattern dynamics and adaptive behavior in multiagent neurobiological systems : conceptual model and data
Passos, Pedro , Araújo, Duarte , Davids, Keith W., Gouveia, Luis , Serpa, SidóNio , Milho, João , & Fonseca, Sofia (2009) Interpersonal pattern dynamics and adaptive behavior in multiagent neurobiological systems : conceptual model and data. Journal of Motor Behavior, 41(5), pp. 445-459.
Ecological dynamics characterizes adaptive behavior as an emergent, self-organizing property of interpersonal interactions in complex social systems. The authors conceptualize and investigate constraints on dynamics of decisions and actions in the multiagent system of team sports. They studied coadaptive interpersonal dynamics in rugby union to model potential control parameter and collective variable relations in attacker–defender dyads. A videogrammetry analysis revealed how some agents generated fluctuations by adapting displacement velocity to create phase transitions and destabilize dyadic subsystems near the try line. Agent interpersonal dynamics exhibited characteristics of chaotic attractors and informational constraints of rugby union boxed dyadic systems into a low dimensional attractor. Data suggests that decisions and actions of agents in sports teams may be characterized as emergent, self-organizing properties, governed by laws of dynamical systems at the ecological scale. Further research needs to generalize this conceptual model of adaptive behavior in performance to other multiagent populations.
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|Item Type:||Journal Article|
|Keywords:||Action, Constraints, Decision Making, Multiagent Dynamics, Self-Organization|
|Subjects:||Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > HUMAN MOVEMENT AND SPORTS SCIENCE (110600) > Motor Control (110603)|
|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:||24 Nov 2009 11:35|
|Last Modified:||29 Feb 2012 23:57|
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