Environments That Make Us Smart
By Peter M. Todd, Gerd Gigerenzer. 2007
231 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ce0f026298fc3023d278134a047109a8be88645c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In General Decision Sciences
In Management Science and Operations Research
- Oliver Schilke
- Jason Burton
- Mari-Klara Stein
- Constance E. Helfat
- Tina Blegind Jensen
- Songcui Hu
- Ralf Wilden
- Dexin Shi
Citations in the corpus
- of Intelligence and Personality (2008, result): “Our work also regards intelligence as a substantive causal component of everyday human performance, in a way that is consistent with the computational, the evolutionary, and the ecological basis of intelligence ( Todd and Gigerenzer, 2007 ).”
- Quo Vadis, Dynamic Capabilities? A Content-Analytic Review of the Current State of Knowledge and Recommendations for Future Research (2018, background): “…although in the management literature heuristics have traditionally been associated with biased or faulty decision-making, including with respect to dynamic capabilities (Teece, 2007), heuristics can also behighlyeffective andoutcomeenhancing (Mousavi& Gigerenzer, 2014; Todd & Gigerenzer, 2007).”
- A systematic review of algorithm aversion in augmented decision making (2019, background): “…violates rational choice theory's normative criteria and measures decision models on their predictive power under uncertainty (instead of data fitting), competitive model testing (instead of null hypothesis testing), and real-world validity (instead of internal coherence) (Todd & Gigerenzer, 2007).”
- Adaptive rationality: An evolutionary perspective on cognitive bias (2009, unknown): “Whenever this match exists, heuristics can perform well (Todd & Gigerenzer, 2007).”