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A Resource-Rational, Process-Level Account of the St. Petersburg Paradox
Ardavan S Nobandegani1, Thomas R Shultz2
1Department of Psychology, Department of Electrical & Computer Engineering, McGill University.
This study explains the St. Petersburg paradox using a resource-rational model of decision-making under risk. It shows cognitive limitations, like limited sampling and overestimating extreme events, explain why people avoid this infinite-payoff lottery.
Area of Science:
- Cognitive Science
- Behavioral Economics
- Decision Theory
Background:
- The St. Petersburg paradox presents a lottery with infinite expected payoff, yet people offer minimal payment to play.
- Existing resolutions for this paradox remain widely debated and lack general acceptance.
Purpose of the Study:
- To provide the first resource-rational, process-level explanation for the St. Petersburg paradox.
- To demonstrate how cognitive limitations can account for observed behavior in this paradox.
Main Methods:
- Utilized a variant of normative expected utility valuation that incorporates cognitive constraints.
- Applied the sample-based expected utility (SbEU) model, a metacognitively rational framework.
Main Results:
- The SbEU model successfully accounts for major experimental findings related to the St. Petersburg paradox.
- The explanation aligns with empirical evidence of limited sample usage in probabilistic judgments.
- The model is consistent with the tendency to overestimate the probability of extreme events.
Conclusions:
- The St. Petersburg paradox can be explained by cognitive limitations in decision-making under risk.
- Human decision-making in risky gambles, like the St. Petersburg game, can be modeled through resource-rational processes.
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