Simulation and Similarity: Using Models to Understand the World (Oxford Studies in Philosophy of Science) by Michael Weisberg

By Andreas Koch. Journal of Artificial Societies and Social Simulation, 2015

416 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/10742f6ad7b493b86c2779bd43eeac00a07c4644

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In Management Science and Operations Research

1. Collin Rice
2. Ramón Alvarado
3. Robert W. Batterman
4. John F. Symons

Citations in the corpus

• Scholarship, Research, and Creative Work at Bryn Mawr College Scholarship, Research, and Creative Work at Bryn Mawr College (background): “Roman copies are given as much significance as Greek works, and nowhere is the problem addressed that renderings could be modified to suit the taste of the Roman patrons.”
• Minimal Model Explanations (2014, result): “These accounts of causal explanation have also led to various claims about how idealized models can provide explanations ðElgin and Sober 2002; Strevens 2004, 2009; Potochnik 2007;Weisberg 2007, 2013Þ.”
• Can we trust Big Data? Applying philosophy of science to software (2016, background): “It is in this sense that the model ceases to be merely an explanatory representation and becomes a simulation (Weisberg, 2013) whose key insights derive from the dynamic nature of the visualization (Bollier and Firestone, 2010).”
• Moving Beyond Causes: Optimality Models and Scientific Explanation (2015, background): “Weisberg (2007, 2012) also includes this kind of veridical representation requirement in his account of minimalist idealization.”