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| Agentenbasierte zelluläre Automaten× | Agentenbasierte Systemdynamik× | |
|---|---|---|
| Fachgebiet | Simulation | Simulation |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1986–1996 | 2000s |
| Urheber≠ | Wolfram, S.; Epstein, J. M. & Axtell, R. | Borshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation) |
| Typ≠ | Hybrid spatial simulation | Hybrid simulation model |
| Wegweisende Quelle≠ | Wolfram, S. (2002). A New Kind of Science. Wolfram Media, Champaign, IL. ISBN: 978-1579550080 | Borshchev, A., & Filippov, A. (2004). From system dynamics and discrete event to practical agent based modeling: Reasons, techniques, tools. In Proceedings of the 22nd International Conference of the System Dynamics Society. Oxford, UK. link ↗ |
| Aliasnamen | ABCA, CA-ABM, Agent-CA, Hybrid Agent-Cellular Automaton | AB-SD, Hybrid ABM-SD, Agent-based SD, Multi-level hybrid simulation |
| Verwandt≠ | 6 | 5 |
| Zusammenfassung≠ | Agent-Based Cellular Automata (ABCA) is a hybrid simulation framework that integrates the local transition rules of cellular automata with the autonomous behavioral logic of agent-based modeling. Cells in a spatial grid both evolve according to neighborhood rules and host agents that perceive, decide, and act, enabling the study of complex spatial phenomena such as land-use change, disease spread, crowd dynamics, and ecosystem evolution. | Agent-based system dynamics (AB-SD) is a hybrid simulation paradigm that couples agent-based modeling (ABM) at the micro level with system dynamics (SD) stock-and-flow structures at the macro level. This allows researchers to capture emergent individual behavior and feedback-driven aggregate dynamics within a single coherent model, making it especially valuable for complex socio-economic and epidemiological systems. |
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