Simplicity, Inference and Modelling: Science seeks parsimony, not simplicity: searching for pattern in phenomena
By Herbert A. Simon. 2002
73 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Economics and Econometrics, History and Philosophy of Science
View Paper: https://www.semanticscholar.org/paper/571771711a6c3cd7449b483f037176fb10c9ca88
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Citations in the corpus
- Big Data for Development: A Review of Promises and Challenges (2016, unknown): “Since explaining and predicting are notoriously different (Simon, 2002; Shmueli, 2010), blind prediction algorithms can disgracefully fail if the environment changes (Lazer et al., 2014), since the insights are based on the past, not on a general understanding of the overall context.”
- Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations (2014, background): “Herbert Simon (2009) informs in his chapter in Simplicity, Inference and Modelling to the beauty in “finding pattern, especially simple pattern, in the midst of apparent complexity and disorder.””