Versatile uncertainty quantification of contrastive behaviors for modeling networked anagram games

DOI10.1007/978-3-030-93409-5_53zbMath1506.91026OpenAlexW4206319231MaRDI QIDQ2086660

Xinwei Deng, Chris J. Kuhlman, Zhihao Hu

Publication date: 25 October 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-93409-5_53

zbMATH Keywords

uncertainty quantificationcontrastive performancemodel explainabilitynetworked anagram games

Mathematics Subject Classification ID

Games involving graphs (91A43)

Related Items (1)

UNCERTAINTY VISUALIZATION FOR CHARACTERIZING HETEROGENEOUS HUMAN BEHAVIORS IN DISCRETE DYNAMICAL SYSTEM MODELS

Uses Software

• AS 136

Cites Work

• Algorithm AS 136: A K-Means Clustering Algorithm
• Experimental Games on Networks: Underpinnings of Behavior and Equilibrium Selection
• Unnamed Item

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