Learning under uncertainty: A model-based approach for understanding gambling behaviour

Summary

This thesis by Erica Yu examines gambling behaviour through a model-based approach, aiming to understand both the strengths and weaknesses in gamblers' decision making.

Topics covered

Key findings

The research shows gamblers use structured mental models of games that include beliefs about underlying processes. These models persist even when contradicted by evidence.

Expertise can help overcome some biases, but may introduce others. Overall, the findings support taking a model-based approach to studying gambling over purely rational or heuristic accounts.

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Learning under uncertainty: A model-based approach for understanding gambling behaviour

Summary

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Learning under uncertainty: A model-based approach for understanding gambling behaviour

Learning under uncertainty: A model-based approach for understanding gambling behaviour