Current Directions in Psychological Science · 2008 · 61 citations · 13 references
ManagementOrganization StudiesPsychologyCollective BehaviorGroup DynamicsGroup ProcessesCollective IntelligenceCollective LearningEmergent BehaviorGroup BehaviorGroup StructureSocial Network AnalysisAgent-based Population ModelsControlled ExperimentsEmergenceEmergent StructureNeuron DynamicsSpontaneous Collective Behavior
Neurons form networks that generate structured thoughts beyond individual neurons, and similarly people spontaneously organize into groups creating emergent organizations beyond individual intent; recent technological advances enable controlled laboratory experiments on human collective behavior, and agent‑based computational models have offered useful explanatory and predictive accounts. The study introduces two experimental paradigms that build predictive bridges between individual beliefs, goals, and cognitive capacities and group‑level behavioral patterns. These paradigms demonstrate how group members dynamically allocate resources and diffuse innovations through a social network. The models and experiments reveal tradeoffs between exploration and exploitation, leading to group‑level phenomena such as population waves, bandwagon effects, and spontaneous specialization.
Just as neurons interconnect in networks that create structured thoughts beyond the ken of any individual neuron, so people spontaneously organize themselves into groups to create emergent organizations that no individual may intend, comprehend, or even perceive. Recent technological advances have provided us with unprecedented opportunities for conducting controlled laboratory experiments on human collective behavior. We describe two experimental paradigms in which we attempt to build predictive bridges between the beliefs, goals, and cognitive capacities of individuals and patterns of behavior at the group level, showing how the members of a group dynamically allocate themselves to resources and how innovations diffuse through a social network. Agent-based computational models have provided useful explanatory and predictive accounts. Together, the models and experiments point to tradeoffs between exploration and exploitation—that is, compromises between individuals using their own innovations and using innovations obtained from their peers—and the emergence of group-level organizations such as population waves, bandwagon effects, and spontaneous specialization.
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