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Víceúčelová dynamika systémů×Agentně-systémová dynamika×
OborSimulaceSimulace
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1961 (SD); multi-objective extensions from 1990s onward2000s
TvůrceForrester, J. W. (System Dynamics); multi-objective extension by various authorsBorshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation)
TypSimulation / optimization hybridHybrid simulation model
Původní zdrojSterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. ISBN: 978-0-07-231135-8Borshchev, 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 ↗
Další názvyMOSD, Multi-criteria SD, Multi-objective SD modeling, System dynamics with multiple objectivesAB-SD, Hybrid ABM-SD, Agent-based SD, Multi-level hybrid simulation
Příbuzné45
ShrnutíMulti-Objective System Dynamics (MOSD) couples the feedback-loop simulation power of System Dynamics with explicit multi-criteria optimization, enabling analysts to explore how a dynamic system can simultaneously satisfy competing policy goals — such as cost minimization, environmental sustainability, and social equity — over time.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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ScholarGatePorovnat metody: Multi-objective system dynamics · Agent-based system dynamics. Získáno 2026-06-15 z https://scholargate.app/cs/compare