Generalization of causal efficacy judgments after evaluative learning.

Area of Science:

• Behavioral Psychology
• Cognitive Science
• Learning Theory

Background:

• Understanding how humans perceive causality is crucial for explaining behavior.
• Reinforcement schedules significantly shape response rates and learning.
• The role of derived stimulus relations in causal judgments remains an active area of research.

Purpose of the Study:

• To investigate the impact of different reinforcement schedules on human causal efficacy ratings.
• To determine if causal efficacy ratings transfer to novel situations via derived stimulus relations.
• To explore the relationship between response-outcome contingencies and perceived causality.

Main Methods:

• Three experiments were conducted using differential reinforcement of high rate (DRH), differential reinforcement of low rate (DRL), variable interval (VI), and variable ratio (VR) schedules.
• Participants provided ratings of causal efficacy under various schedule conditions.
• Generalization of efficacy ratings to novel stimuli was assessed through derived relations.

Main Results:

• Causal efficacy ratings were higher under DRH schedules compared to DRL and VI schedules.
• When outcome probability was equated, causal efficacy and response rates were higher under VR than VI schedules.
• Causal efficacy ratings demonstrated transfer and generalization to novel stimuli through derived relations.

Conclusions:

• Reinforcement schedules are significant determinants of both response rates and causal efficacy judgments.
• Derived stimulus relations provide a mechanism for the generalization of causal efficacy ratings.
• Findings have potential clinical implications for understanding and modifying causal perceptions.