The ecological rationality of explanatory reasoning

Area of Science:

• Cognitive Science
• Philosophy of Mind
• Decision Theory

Background:

• Explanatory considerations systematically influence belief updates.
• Observed belief updating rules differ from standard Bayesian principles.
• The normative status of explanation-based belief updating is debated.

Purpose of the Study:

• To investigate the normative status of explanation-based belief updating.
• To challenge the view that deviating from Bayesian principles is always fallacious.
• To explore the benefits of explanation-based updating in learning.

Main Methods:

• Agent-based optimization to model belief updating processes.
• Analysis of explanation-based update rules in different contexts.
• Evolutionary perspective on reasoning strategies.

Main Results:

• Explanation-based updating can facilitate a balance between learning speed and accuracy.
• Unlike Bayes' rule, explanation-based rules possess context-adjustable parameters.
• Ecological rationality principles support context-sensitive learning strategies.

Conclusions:

• Explanation-based reasoning is not necessarily a bias and offers adaptive advantages.
• Context-sensitive parameters in explanation-based rules enhance learning efficiency.
• Evolutionary and ecological perspectives support the utility of explanation-based belief updating.