Classification in the Wild: The Science and Art of Transparent Decision Making

by Konstantinos V. Katsikopoulos, Ozgur Simsek, Marcus Buckmann, and Gerd Gigerenzer

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Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty.

This book focuses on classification--allocating objects into categories--"in the wild," in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning.
  • ISBN10 026204515X
  • ISBN13 9780262045155
  • Publish Date 2 February 2021
  • Publish Status Active
  • Publish Country US
  • Publisher MIT Press
  • Imprint The MIT Press