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Individuals solve many real-world problems by applying distinct mental strategies, requiring them to coordinate strategy use. Theories of the mind often postulate that individuals apply only one strategy at a given time, implying shifting between strategies. On the flip side, integrating or blending knowledge from several strategies often proves beneficial. A generalized learning model reveals that developing domain-specific strategies is only possible if people keep more than one strategy active at any given point in time, rendering trial-by-trial strategy shifts less plausible. We test model predictions against human performance in the domain of judgment. Simulations show that the model replicates how individuals coordinate memory and rule-based strategies. Results from two experiments in which individuals made judgments for rules and exceptions support the conclusion that strategy-blending better predicts than strategy-shifting how individuals learn to coordinate memory- and rule-based strategies. Learning models thus provide a suitable tool for understanding strategy coordination.
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