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Area of Science:

  • Cognitive Science
  • Evolutionary Game Theory
  • Behavioral Economics

Background:

  • Human cognition involves a spectrum from automatic, inflexible processes to controlled, flexible ones.
  • Controlled processing offers advantages in modifying the environment, suggesting a potential increase in its prevalence.
  • Understanding the dynamics of these cognitive processes is crucial for human adaptation and societal development.

Purpose of the Study:

  • To investigate the evolutionary trajectory of automatic versus controlled cognitive processing in a population.
  • To model how cognitive strategies interact with environmental modification over time.
  • To determine if controlled processing inevitably increases or if other dynamics emerge.

Main Methods:

  • Development of an evolutionary game theoretic model.
  • Simulation of agents with varying reliance on automatic and controlled cognitive processes.
  • Incorporation of environmental modification driven by cognitive processing.

Main Results:

  • The model predicts cyclical oscillations in the prevalence of automatic and controlled processing.
  • Increased control can create conditions that foster the resurgence of automaticity.
  • Neither processing type inexorably dominates; instead, their frequencies fluctuate.

Conclusions:

  • The prevalence of controlled cognitive processing is not guaranteed to increase over time.
  • The emergence of control can paradoxically lead to its own decline by enabling automaticity.
  • These cyclical dynamics may offer insights into historical human societal patterns and current challenges.