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The Future of Decisions From Experience: Connecting Real-World Decision Problems to Cognitive Processes
Sebastian Olschewski1,2, Ashley Luckman2,3, Alice Mason4,5
1Department of Psychology, University of Basel.
Summary
Understanding decisions from experience (DfE) requires extending experimental designs to include complex choices, delayed feedback, and social interactions. Integrating cognitive processes like attention and memory is crucial for accurate DfE modeling and real-world application.
Area of Science:
- Cognitive Psychology
- Behavioral Economics
- Decision Science
Background:
- Decisions from experience (DfE) are influenced by past outcomes in critical domains like finance, health, and environmental management.
- Recent research has significantly advanced the understanding of DfE over the past two decades.
- Standard experimental designs may not fully capture the complexity of real-world decision-making.
Purpose of the Study:
- To propose extensions to standard experimental designs for studying decisions from experience (DfE).
- To advocate for the integration of cognitive processes into DfE research.
- To enhance the ecological validity and applicability of DfE research.
Main Methods:
- Review and synthesis of existing literature on decisions from experience.
- Proposal of methodological extensions, including complex choice environments, delayed feedback, and social interactions.
- Argument for incorporating cognitive mechanisms such as attention, memory, and mental models.
Main Results:
- Extended experimental paradigms can better approximate real-world decision-making scenarios.
- Explicit integration of cognitive processes offers a more comprehensive understanding of DfE.
- Potential for advancing theory integration across behavioral, decision, and cognitive sciences.
Conclusions:
- Future DfE research should adopt more complex and realistic experimental settings.
- Understanding underlying cognitive processes is key to improving DfE models.
- This research can inform better decision-making strategies and policy interventions.
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