Patterns of interaction-dominant dynamics in individual versus collaborative memory foraging.

Area of Science:

• Cognitive Psychology
• Behavioral Dynamics
• Memory Processes

Background:

• Power law distributions in cognitive systems indicate multiplicative, interdependent interactions.
• Understanding memory search dynamics is crucial for cognitive modeling.

Purpose of the Study:

• Investigate memory search dynamics in individual versus collaborative participants.
• Determine how collaboration influences behavioral patterns and distribution fits.

Main Methods:

• Comparative analysis of recall tasks between individual, collaborative, and nominal groups.
• Multi-model inference to fit temporal recall distributions with five candidate models (normal, exponential, gamma, lognormal, Pareto).

Main Results:

• Both individual and collaborative memory search fit interaction-dominant distributions (lognormal and Pareto).
• Individual behavior showed a stronger power law fit, while collaborative behavior favored a lognormal distribution.
• Collaborative dyads exhibited collaborative inhibition but generated distinct search patterns.

Conclusions:

• Behavioral dynamics shift from power law to lognormal under task constraints, such as collaboration.
• This shift may indicate reduced flexibility in search strategies (perseverative vs. explorative).
• Future research should explore factors influencing the power law to lognormal behavioral shift in collaborative memory.