The causal psycho-logic of choice

Area of Science:

• Cognitive Science
• Decision Theory
• Causal Inference

Background:

• Decision-making is often viewed as selecting options, but it's an active intervention changing the world.
• Effective decision-making necessitates a model of causal relationships between actions and outcomes.
• Interventions yield different inferential insights compared to passive observations.

Purpose of the Study:

• To develop a causal framework for decision-making.
• To integrate causal Bayes nets theory with decision-making processes.
• To explain deliberate decision-making through simplified causal models and hypothetical interventions.

Main Methods:

• Utilizing causal Bayes nets theory to model decision-making.
• Integrating the concept of intervention versus observation in causal inference.
• Proposing the use of simplified causal models for decision-making.

Main Results:

• A novel causal framework for decision-making is presented.
• The framework posits that deliberate decisions rely on simplified causal models.
• Imaginary interventions are suggested as a key component of decision-making.

Conclusions:

• The proposed causal framework is consistent with current understanding of human decision-making.
• Decision-making is fundamentally an act of intervention with causal consequences.
• Simplified causal models and imaginary interventions are crucial for deliberate choices.