Thinking, Fast and Slow

By Daniel Kahneman. 2011

1,393 citations recorded by the source corpus.

Subfields: Cognitive Science & Psychology, Economics & Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Science & Psychology

In Economics & Operations Research

Citations in the corpus

What can the brain teach us about building artificial intelligence? (2016, methodology): “el-free methods as providing peripheral support for model-based approaches. However, there is abundant evidence that model-free mechanisms play a pervasive role in human learning and decision making (Kahneman, 2011). Furthermore, the dramatic recent successes of model-free learning in areas such as ”
Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “ople, then it is fair to say that models of how humans explain decisions and behaviour to each other are a good way to start analysing the problem. Researchers argue that people employ certain biases [82] and social expectations [72] when they generate and evaluate explanation, and I argue that such”
The challenge of crafting intelligible intelligence (2018, background): “ect conclusions; for example, people reason incorrectly about the probability of conjunctions, with a concrete and vivid scenario deemed more likely than abstract situation which strictly subsumes it [18]. Should an explanation system exploit human limitations or seek to protect us from them? Other ”
The Cognitive Underpinnings of Bias in Forensic Mental Health Evaluations (2014, methodology): “Therefore, anchoring with a base rate and then critically evaluating the strength of the case-specific diagnostic information are offered as recommendations to combat the representativeness heuristic and overconfidence (Kahneman, 2011).”
Effects of Literature on Empathy and Self-Reflection: A Theoretical-Empirical Framework (2015, positive): “Stillness, we propose, allows a space in which slow thinking (Kahneman 2011) can take place.”
23 Ways to Nudge: A Review of Technology-Mediated Nudging in Human-Computer Interaction (2019, background): “While differing in their details, they are based on the same underlying concept - we own two modes of thinking: System 1 (the automatic) and System 2 (the reflective) [85][50].”
Rethinking Construction Cost Overruns: Cognition, Learning and Estimation (2014, background): “…stating that we often exhibit an excessive confidence in what we believe we know about any situation, and that our inability to acknowledge the full extent of our ignorance and the uncertainty of the world we live in makes us prone to overestimate how much we really understand (Kahneman 2011).”
Striving for balance in economics : towards a theory of the social determination of behavior (2016, positive): “…economics demonstrates that much of our behavior is not consistent with rationality: Robinson Crusoe, living lone on his island, may suffer from framing effects, confirmatory bias, anchoring, and the multitude of other reasoning errors hat behavioral economics has identified (Kahneman, 2003, 2011).”
Critical Thinking for Language Models (2020, background): “Actually, that doesn’t come as a surprise, given the tendency of humans to commit errors in reasoning (Kahneman, 2011; Sunstein and Hastie, 2015), their limited critical thinking skills (Paglieri, 2017), the resulting omnipresence of fallacies and biases in texts and the frequently low…”
Public perception of climate risk and adaptation in the UK: A review of the literature (2014, background): “…observations are consistent with the notion (outlined in the ‘Introduction’) that non-experts’ everyday thinking draws upon spontaneous associations (Kahneman, 2011; Kahneman and Frederick, 2002; Stanovich and West, 2008) It is also in keeping with research in the broader risk communication…”