Tutorial on agent-based modeling and simulation
By Charles M. Macal, Michael J. North. Proceedings of the Winter Simulation Conference, 2005., 2005
2,024 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/434b553f9d0176871cc52a9767904f74e50ae9df
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In Artificial Intelligence
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Citations in the corpus
- Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--1. (2012, background): “General textbooks and tutorial articles covering these techniques exist [21–25], and specific publications that address the methods are cited throughout.”
- Micro-price trading in an order-driven market (2014, background): “The decision-makers, referred to as agents, interact based upon their individual rules of behavior and the physics of the system [1].”
- Large language models empowered agent-based modeling and simulation: a survey and perspectives (2023, positive): “Agent-based modeling and simulation focuses on modeling complex systems by simulating individual agents and their interactions within an environment (Macal and North, 2005).”
- Agent-Based Modeling: A New Approach for Theory Building in Social Psychology (2007, neutral): “As the term is used in modeling, an agent tends to have a number of characteristics, although a range of variability exists on many of these dimensions (Macal & North, 2005; Flache & Macy, 2004): Discrete .”