Heuristics: The Foundations of Adaptive Behavior

By Gerd Gigerenzer, Ralph Hertwig, Thorsten Pachur. 2015

492 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d3921b29ce33fcfb5c0d805d3a0a7d9832f69cba

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Citations in the corpus

Nudging and Boosting: Steering or Empowering Good Decisions (2017, background): “, when applied in the wrong environment), but this approach emphasizes that—relative to resource-intensive and general-purpose normative strategies—heuristics can be surprisingly efficient and robust (Gigerenzer et al., 2011).”
Errors in Probabilistic Reasoning and Judgment Biases (2018, unknown): “The research strategy pursued by him and his colleagues focused on specifying precise algorithms to fit experimental data on people’s judgments (e.g., Gigerenzer, Hertwig, and Pachur, 2011).”
Heuristics: Tools for an Uncertain World (2015, background): “The answers to the descriptive and normative question have been used to improve experts’ decision-making and decisions “in the wild” (Gigerenzer et al., 2011).”
The structure of online social networks mirrors those in the offline world (2015, background): “dated in various research communities, such as sociology and anthropology [101,152,193] , cognitive psychology [92,95,160] , micro-economics [46,76,77] , physics of complex systems (e.”
Simple Rules for Complex Decisions (2017, unknown): “In decision-making scenarios, experts oen choose a course of action based on experience and intuition rather than on statistical analysis [10].”
Risk, Uncertainty, and Heuristics (2014, unknown): “As a consequence, expert decisions under uncertainty do not rely on estimating probabilities alone but also on search rules, aspiration levels, lexicographic rules, and other heuristic principles (Gigerenzer et al., 2011).”
Surrogate Science (2015, background): “Instead, they rely on fast-and-frugal heuristics that are robust in the many situations in which the assumptions for Bayes’ rule are not met (e.g., Simon, 1979; Gigerenzer et al., 2011).”
The Bias Bias in Behavioral Economics (2018, background): “…the positive alternative to current behavioral economics, a topic beyond the scope of this article; other authors and I have elsewhere written about how to rethink behavioral economics based on Simon’s perspective (e.g., Gigerenzer, 2016a,b; Gigerenzer et al., 2011; Gigerenzer and Selten, 2001).”
Reasoning in Non-probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples (2017, background): “[19,18] have extensively developed evidence that human reasoning is heuristic with regard to probability models.”