Запис о доказима методе

Agent-Based 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.

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Agent-Based Modeling (ABM)

Таксономски запис методе · process-pipeline / simulation

Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. · DOI 10.1515/9781400822300
Wilensky, U. & Rand, W. (2015). An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. MIT Press. · ISBN 978-0262731898

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Same method familyDiscrete-Event Simulationmachine-suggested · Relational suggestion, not evidence.Same method familyLatin Hypercube Samplingmachine-suggested · Relational suggestion, not evidence.Same method familyMarkov Chain Monte Carlomachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Same method familySystem Dynamicsmachine-suggested · Relational suggestion, not evidence.