A test of synergy in dynamic system control tasks

Area of Science:

• Cognitive Psychology
• Behavioral Economics
• Systems Science

Background:

• Individual performance in managing complex dynamic systems is frequently suboptimal.
• Existing research lacks definitive tests comparing group versus individual control of dynamic systems.

Purpose of the Study:

• To unequivocally test if groups outperform individuals in controlling dynamic systems.
• To differentiate performance gains from statistical aggregation versus true synergy in groups.
• To identify mechanisms driving group superiority in dynamic system control.

Main Methods:

• Three experiments comparing interacting real groups, nominal groups, and individuals.
• Assessment of system control performance in dynamic tasks.
• Analysis of group interaction and information exchange.

Main Results:

• Groups demonstrated superior performance compared to individuals in dynamic system control.
• The majority of group advantage derived from statistical aggregation, but significant true synergy was observed.
• Group-to-individual transfer, facilitated by information exchange, was identified as a key synergy mechanism.

Conclusions:

• Groups are more effective than individuals at controlling complex dynamic systems.
• Within-group interaction fosters synergy, enhancing collective performance beyond mere aggregation.
• Facilitating information exchange within groups can improve individual and collective control capabilities.