How to build and use agent-based models in social science
By N. Gilbert, P. Terna. 2000
597 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/30551ec9a7a49369ebbae3a4dd66f00cbb2a1509
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In Artificial Intelligence
In Sociology and Political Science
In Statistical and Nonlinear Physics
Citations in the corpus
- Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers (2016, methodology): “Societal dynamics can be implemented e.g. using network models 904 (Janssen et al., 2006) or arising from individual actor behaviour in ‘agent-based’ models 905 (Gilbert and Terna, 2000).”
- Agent-Based Modeling: A New Approach for Theory Building in Social Psychology (2007, unknown): ““Evolutionary game theory” (Gintis, 2000; Maynard Smith, 1982) examines the outcomes as a changing and adapting population of agents interacts with each other and with an environment over many simulated generations and analyzes the agent strategies that fare best in such competition.”
- A Third Wave in the Economics of Climate Change (2015, methodology): “AsABMs are software programs, they need to be subject to software testing, diagnostic experiments and debugging procedures to ensure that the computer code executes as intended (Gilbert and Terna 2000).”
- Large language models empowered agent-based modeling and simulation: a survey and perspectives (2023, unknown): “In this section, we will fi rst introduce the background of agent-based modeling and simulation, and large language models-empowered agents.”