The evolution of discrimination under finite memory constraints

Area of Science:

• Evolutionary biology
• Behavioral economics
• Social psychology

Background:

• Discriminatory behavior can emerge as an adaptive strategy in mixed populations.
• Finite memory and environmental uncertainty influence decision-making processes.
• Understanding the evolutionary basis of bias is crucial for addressing societal issues.

Purpose of the Study:

• To develop an evolutionary model explaining discriminatory behavior as an adaptive strategy.
• To investigate the role of finite memory and environmental uncertainty in shaping discriminatory practices.
• To explore the evolutionary advantage of finite memory in dynamic environments.

Main Methods:

• Development of an evolutionary model simulating individual decision-making.
• Analysis of adaptive strategies in populations with finite memory.
• Modeling the impact of environmental variability and mutations on behavior.

Main Results:

• Finite memory and environmental uncertainty lead individuals to rely on prior biases and group traits.
• Finite memory is favored by natural selection in dynamic, uncertain environments.
• Adaptability due to memory constraints enhances fitness in variable conditions.

Conclusions:

• Memory constraints and environmental changes are key factors in the persistence of biased behavior.
• The evolutionary model provides insights into real-world discrimination.
• Findings suggest potential mitigation strategies for bias in various fields.