Homo heuristicus: why biased minds make better inferences

Area of Science:

• Cognitive Psychology
• Behavioral Economics
• Decision Science

Background:

• Heuristics are cognitive shortcuts that simplify decision-making by omitting information.
• A prevailing view suggests reduced processing leads to decreased accuracy.

Purpose of the Study:

• To review advancements in heuristic research.
• To demonstrate how heuristics can enhance accuracy despite limited information processing.

Main Methods:

• Review of empirical studies on heuristics.
• Development of computational models for heuristic processes.
• Ecological rationality analysis of heuristic strategies.
• Empirical methodologies accounting for individual differences.

Main Results:

• Discovery of "less-is-more" effects where reduced information/computation improves accuracy.
• Evidence for the ecological rationality of heuristics in specific environments.
• Advancement from vague heuristic labels to precise computational models.
• Demonstration of Homo heuristicus's adaptive use of heuristics for efficient uncertainty handling.

Conclusions:

• Heuristics, though biased, offer robust and efficient decision-making under uncertainty.
• The cognitive system utilizes an "adaptive toolbox" of heuristics.
• Understanding heuristic principles is key to explaining human decision-making.