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Related Experiment Videos

Cumulative effects model: a response to Williams (1994)

J E Staddon1, D G Davis, A Machado

  • 1Department of Psychology, Duke University, Durham, North Carolina 27708.

Psychological Review
|October 1, 1994
PubMed
Summary

The cumulative effects (CE) model explains choice behavior using response and reinforcement ratios. It differs from local probability models, offering a robust explanation for complex choice data.

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Area of Science:

  • Behavioral science
  • Psychology
  • Animal behavior

Background:

  • The cumulative effects (CE) model offers a probabilistic explanation for free-operant choice behavior.
  • This model is contrasted with local probability models, particularly in light of arguments questioning its ability to account for data that disproves melioration.

Discussion:

  • The authors highlight key distinctions between the nonlocal CE model and local probability models.
  • These differences enable the CE model to accommodate data that presents challenges for local models.
  • The discussion emphasizes that all models are simplifications, and failures offer valuable insights.

Key Insights:

  • The CE model's strength lies in its nonlocal nature, allowing it to handle complex choice scenarios.
  • Differences in model structure are crucial for explaining empirical data in choice behavior.

Related Experiment Videos

  • Model failures are as informative as successes for theoretical advancement.

    • Outlook:

    • Future research should explore the acquisition and action mechanisms of representations.
    • Investigating decision rules within representational accounts is a key area for development.
    • The study suggests a path toward more comprehensive models of choice behavior.