Geometry of behavioral spaces: A computational approach to analysis and understanding of agent based models and agent behaviors

Author:

Cenek Martin,Dahl Spencer K.ORCID

Funder

Alaska NSF EPSCoR

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Decomposing Variance Decomposition for Stochastic Models: Application to a Proof-Of-Concept Human Migration Agent-Based Model;Journal of Artificial Societies and Social Simulation;2024

2. Model Mechanisms and Behavioral Attractors;Springer Proceedings in Complexity;2023

3. Interactions, Model Mechanisms and Behavioral Attractors in Complex Social Systems;Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas;2023

4. Mapping the Chaotic Transitions of the Lorenz Equations With Unsupervised Machine Learning;ASME Journal of Heat and Mass Transfer;2022-11-17

5. An empirical nonlinear dynamics approach to analyzing emergent behavior of agent-based models;AIP Advances;2021-03-01

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