What do computer models of cognition explain: a reply to Gobet.

Area of Science:

• Cognitive Psychology
• Computational Neuroscience
• Philosophy of Science

Background:

• Computational models are increasingly used in psychology to simulate cognitive phenomena.
• Disagreements between different models simulating the same phenomenon raise questions about their scientific validity.
• The foundational issues of model interpretation and argumentative power are critical in computational modeling.

Purpose of the Study:

• To examine the argumentative status of computational models in psychology.
• To address the implications of having multiple, distinct models that accurately simulate the same phenomenon.
• To discuss the general argumentative power of models within the field of psychology.

Main Methods:

• Comparative analysis of differing computational models.
• Philosophical inquiry into the nature of scientific models in psychology.
• Discussion of foundational issues in computational modeling.

Main Results:

• Identifies critical questions regarding the interpretability and validity of computational models.
• Highlights the challenges in determining the 'truth' or explanatory power of models when multiple simulations exist.
• Underscores the need for a clearer understanding of the argumentative power of models in psychological research.

Conclusions:

• The existence of multiple, accurate computational models for the same phenomenon complicates their argumentative status.
• Foundational issues concerning the general power of models in psychology require further attention.
• Clarifying the role and interpretation of computational models is essential for advancing psychological science.