方法证据记录
Deterministic Agent-Based Modeling
Deterministic Agent-Based Modeling (D-ABM) is a computational simulation approach in which autonomous agents follow fully specified, non-random behavioral rules within a structured environment. Every run with identical initial conditions produces identical outcomes, making the model fully reproducible and transparent for analysis of emergent system behavior without stochastic noise.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Deterministic Agent-Based Modeling (D-ABM)
分类方法记录 · process-pipeline / simulation
- Epstein, J. M., & Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom Up. MIT Press. · ISBN 9780262550253
- Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99(Suppl 3), 7280-7287. · DOI 10.1073/pnas.082080899
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