Everything you need to know about agent-based modelling and simulation

By Charles M. Macal. J. Simulation, 2016

421 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/d8cbe13b1b0cbbb96fc0c1f9cc12c788a962a6e6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Noël Crespi

In Management Science and Operations Research

1. Noël Crespi
2. G. Lee
3. Roberto Minerva

In Sociology and Political Science

1. Noël Crespi

Citations in the corpus

• Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, background): “Simulation theory [152] and agent-based simulation technologies [72], [153] for large systems also play a key role in representing the behavior of a large system composed of different DTs.”
• Agent Based Modelling and Simulation tools: A review of the state-of-art software (2017, background): “dynamic large-scale complicated systems and observing emergent behaviours [19,32,33].”