Measuring tree complexity with response times

B-Tier
Journal: Journal of Behavioral and Experimental Economics
Year: 2022
Volume: 98
Issue: C

Authors (2)

Grabiszewski, Konrad (not in RePEc) Horenstein, Alex (University of Miami)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Game-theoretic trees vary in complexity. This paper introduces the concept of graph-based complexity and relies on the subjects’ behavior to empirically derive a measure of tree complexity. Data comes from the mobile app Blues and Reds, designed specifically to conduct experiments. The sample consists of 6637 subjects from 143 countries who play 27 different dynamic games. Based on subjects’ response times, we find that two measures – the average response time spent at the first round and the average total time spent solving the tree – are the best candidates for the empirical measure of tree complexity. We focus on two-person, finite, zero-sum dynamic games with perfect and complete information.

Technical Details

RePEc Handle
repec:eee:soceco:v:98:y:2022:i:c:s2214804322000490
Journal Field
Experimental
Author Count
2
Added to Database
2026-02-02