Comparer des méthodes

	Dynamique des Systèmes Déterministe	Modélisation Basée sur les Agents (MBA)
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	1961	1970s–1990s (formalized as a field)
Auteur d'origine	Jay W. Forrester	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)
Type	Continuous feedback-loop simulation	Computational simulation method
Source fondatrice	Forrester, J. W. (1961). Industrial Dynamics. MIT Press, Cambridge, MA. ISBN: 9780262560221	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.
Alias	Deterministic SD, Classical System Dynamics, Continuous Simulation SD, Forrester System Dynamics	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling
Apparentées	5	5
Résumé	Deterministic System Dynamics is the classical form of System Dynamics introduced by Jay Forrester in 1961, using fixed (non-probabilistic) ordinary differential equations to simulate stock-and-flow structures and feedback loops over time. All model parameters and relationships are specified as single-valued constants or deterministic functions, yielding a single trajectory for each simulation run. It is widely used in policy analysis, business strategy, ecology, and public health modeling.	Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone.