分類行為の認知科学：推論・意思決定の現場に迫る機械学習的アプローチ Classification in the Wild : The Science and Art of Transparent Decision Making

著者名：Katsikopoulos, Konstantinos V./Simsek, Ozgur/Buckmann, Marcus/Gigerenzer, Gerd

The MIT Press（2021/02/02発売）

• 言語：ENG
• ISBN：9780262045155
• eISBN：9780262361958

Description

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.

Table of Contents

Acknowledgments ix 
Introduction: Why Classification in the Wild? 1 
1 Four Cases of Classification in the Wild 5 
2 Fast-and-Frugal Classification 29 
3 Building Fast-and-Frugal Classifiers 51 
4 Classification in Machine Learning 79 
5 Classification in Cognitive Psychology 109 
6 Building a Safer World 129 
7 Conclusions 149 
Notes 151 
Bibliography 171 
Author Index 185 
Subject Index 191