Jack Beerman
According to our database1,
Jack Beerman
authored at least 5 papers
between 2023 and 2024.
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Bibliography
2024
Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike?
CoRR, 2024
2023
A framework for the comparison of errors in agent-based models using machine learning.
J. Comput. Sci., September, 2023
Software Technology to Develop Large-Scale Self-Adaptive Systems: Accelerating Agent-Based Models and Fuzzy Cognitive Maps via CUDA.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
On the Necessity of Human Decision-Making Errors to Explain Vaccination Rates for Covid-19: an Agent-Based Modeling Study.
Proceedings of the Annual Modeling and Simulation Conference, 2023