bioRxivAnimal Behavior & CognitionPreprint
Matching provides efficient decisions
Abstract
How humans and animals distribute their behavior across choice options has been of key interest to economics, psychology, ecology, and related fields. Neoclassical and behavioral economics have provided prescriptions for how decision-makers can maximize their reward or utility, but these formalisms are used by decision-makers rarely. Instead, individuals allocate their behavior in proportion to the worth of their options, a phenomenon captured by the generalized matching law. Why biological decision-makers adopt this strategy has been unclear. To provide insight into this issue, this article evaluates the performance of matching across a broad spectrum of decision situations, using simulations. Matching is found to attain a high or near-optimal gain, and the strategy achieves this level of performance following a single evaluation of the decision options. Thus, matching provides highly efficient decisions across a wide range of choice environments. This result offers a quantitative explanation for the broad adoption of matching by biological decision-makers.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Environmental dynamics impact whether matching is optimal
Yipei Guo, Ann M. Hermundstad·PNAS NexusPeer-reviewed·Dec 17, 2025
- Efficient decision-makers evaluate relative reward per effort
J. Kubanek·bioRxiv·May 31, 2022
- How to Forage for a Mate?
Daniel S. Bernstein, Ahmed El Hady·bioRxiv·Mar 30, 2026
- Optimal foraging requires coordinating decisions with movements
Clara Saleri, Gislene Gardechaux, … David Thura·Journal of NeurosciencePeer-reviewed·Apr 17, 2026
- Learning Fast And Slow: Deviations From The Matching Law Can Reflect An Optimal Strategy Under Uncertainty
Kiyohito Iigaya, Yashar Ahmadian, … Stefano Fusi·bioRxiv·May 25, 2017
- Undermatching is a consequence of policy compression
B. A. Bari, S. J. Gershman·bioRxiv·May 25, 2022