Strategy Method Effects in Centipede Games: An Optimal Design Approach
Shiang-Hung Hu, Po-Hsuan Lin, Thomas R. Palfrey, Joseph Tao-yi Wang, Yu-Hsiang Wang

TL;DR
This paper investigates how different choice elicitation methods in centipede games influence behavior, revealing significant differences that align with dynamic cognitive hierarchy models and quantal responses, thus shedding light on behavioral distortions.
Contribution
It compares three optimal design methods for eliciting strategies in centipede games and explains behavioral differences using advanced theoretical models.
Findings
Significant behavioral differences across elicitation methods
Differences align with dynamic cognitive hierarchy and quantal response models
Standard game theory cannot fully explain observed behaviors
Abstract
We explore the twin questions of when and why the strategy method creates behavioral distortions in the elicitation of choices in laboratory studies of sequential games. While such distortions have been widely documented, the theoretical forces driving these distortions remain poorly understood. In this paper, we compare behavior in six optimally designed centipede games, implemented under three different choice elicitation methods: the direct response method, the reduced strategy method and the full strategy method. These methods elicit behavioral strategies, reduced strategies, and complete strategies, respectively. We find significant behavioral differences across these elicitation methods -- differences that cannot be explained by standard game theory, but are consistent with the predictions of the Dynamic Cognitive Hierarchy solution (Lin and Palfrey, 2024), combined with quantal…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsArtificial Intelligence in Games
