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Visions of rationality.
V M Chase1, R Hertwig, G Gigerenzer
1Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany.
Rationality in inference is redefined beyond strict logic to include adaptive goals and environmental factors. Boundedly rational heuristics exploit environmental features for effective decision-making under constraints.
Area of Science:
- Cognitive Science
- Decision Science
- Behavioral Economics
Background:
- Classical models define rationality via probability theory and logic.
- Emerging views incorporate adaptive goals, environmental context, and cognitive limitations.
Purpose of the Study:
- To propose and review research on a multifaceted conception of rationality.
- To argue for boundedly rational heuristics in inference.
Main Methods:
- Review of recent empirical and theoretical work.
- Conceptual analysis of rationality and inference.
Main Results:
- Inference relies on boundedly rational heuristics.
- These heuristics are ecologically rational, exploiting environmental structures.
- Organisms achieve goals despite limited time, information, and computation.
Conclusions:
- A broader, ecologically grounded view of rationality is essential.
- Bounded rationality offers a more realistic framework for understanding inference.
- Future research should explore these adaptive heuristics.
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