Pith. sign in

REVIEW 1 cited by

Dynamic Structure in Four-strategy Game: Theory and Experiment

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2203.14669 v1 pith:5KCVTA4O submitted 2022-03-28 econ.TH nlin.CD

classification econ.THnlin.CD
keywords gametheoryconsistencycycledynamicdynamicsexperimentresults
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

Game dynamics theory, as a field of science, the consistency of theory and experiment is essential. In the past 10 years, important progress has been made in the merging of the theory and experiment in this field, in which dynamics cycle is the presentation. However, the merging works have not got rid of the constraints of Euclidean two-dimensional cycle so far. This paper uses a classic four-strategy game to study the dynamic structure (non-Euclidean superplane cycle). The consistency is in significant between the three ways: (1) the analytical results from evolutionary dynamics equations, (2) agent-based simulation results from learning models and (3) laboratory results from human subjects game experiments. The consistency suggests that, game dynamic structure could be quantitatively predictable, observable and controllable in general.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Eigenmanifold in Game: Evidence from human continuous strategy game experiments

    cs.GT 2026-07 conditional novelty 5.5 of 10

    Discretized continuous-strategy human experiments confirm that observed angular-momentum manifolds are statistically significant linear combinations of theoretical eigenmanifolds from the Nash Jacobian.

Pith tools