Heuristic decision making.

By Gerd Gigerenzer, Wolfgang Gaissmaier. 2011

3,590 citations recorded by the source corpus.

Subfields: General Decision Sciences, Management Science and Operations Research, Sociology and Political Science

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Citations in the corpus

Interactive machine learning for health informatics: when do we need the human-in-the-loop? (2016, background): “Moreover, there is practically no evidence, how such interaction may really optimize these algorithms, even though ‘‘natural’’ intelligent agents are present in large numbers on our world and are studied by cognitive scientists for quite a while [23].”
Human- versus Artificial Intelligence (2021, background): “Biased reasoning can result in quite acceptable outcomes in natural or everyday situations, especially when the time cost of reasoning is taken into account (Simon, 1955; Gigerenzer and Gaissmaier, 2011).”
Students’ Civic Online Reasoning: A National Portrait (2021, background): “When browsing the internet is how we become informed citizens, traditional ways of reading are not merely ineffective (Gigerenzer & Gaissmaier, 2011; Hertwig & Engel, 2016; Kozyreva et al., 2020), they’re dangerous (Caulfield, 2018; Warzel, 2021).”
Internal and external barriers to energy efficiency: which role for policy interventions? (2019, background): “Therefore, in complex situations, characterized for example, by an overload of information, people rely on a simple counting heuristic and rules of thumb that help simplifying the decision-making process (Gigerenzer and Gaissmaier 2011).”
Quo Vadis, Dynamic Capabilities? A Content-Analytic Review of the Current State of Knowledge and Recommendations for Future Research (2018, background): “Cognitive psychologists, such as Gigerenzer and colleagues, have significantly advanced the knowledge of heuristics (Artinger, Petersen, Gigerenzer, & Weibler, 2014; Gigerenzer & Gaissmaier, 2011).”
Doing more with less: meta-reasoning and meta-learning in humans and machines (2019, background): “An extensive literature has suggested that people make decisions by following heuristics [25].”
The Two Settings of Kind and Wicked Learning Environments (2015, background): “Our perspective also speaks to the predictive accuracy of some heuristic decision processes that typically ignore information and involve simple decision rules (Gigerenzer & Gaissmaier, 2011).”
Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour (2015, background): “Many of these biases stem from simple ‘rules-of-thumb’, ‘heuristics’ and mental ‘shortcuts’ that alleviate the need for more effortful information processing, thereby hastening the speed of problem-solving and decision-making, particularly in situations characterised by high levels of complexity, ch”
Photovoltaics in agriculture: A case study on decision making of farmers (2013, background): “We know that in reality often only a relatively small number of factors actually contribute to a decision (Gigerenzer & Gaissmaier, 2011).”
The Study of Bias in Entrepreneurship (2017, background): “Meanwhile, more biased decision makers are more comfortable under ambiguous, uncertain, and complex decision contexts (Gigerenzer & Gaissmaier, 2011); consequently, they have an easier time making entrepreneurial decisions and are more likely to become entrepreneurs (Busenitz & Barney; Busenitz &…”
Introduction to MAchine Learning & Knowledge Extraction (MAKE) (2017, background): “A human can deal with uncertainties due to his/her previous knowledge and experience within a short time [57,58].”
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop (2017, background): “…no evidence of how such interaction may really optimize these algorithms, as it is a subject that is still being studied by cognitive scientists for quite a while and even though ”natural” intelligent agents are present in large numbers throughout the world (Gigerenzer and Gaissmaier, 2011).”
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction (2018, background): “These heuristics may vary according to the situation and to people’s level of knowledge about the situational elements, helping to parse information into more manageable and meaningful pieces [27].”
Heuristics: Tools for an Uncertain World (2015, background): “Surprisingly, the proportion of British or German citizens correctly answering the same question was 80–90% (Gigerenzer & Goldstein, 2011).”
The Theory-Based View: Economic Actors as Theorists (2017, neutral): “This distinction is quite important, as it distinguishes us from cognitive models that focus on, say, heuristics and cues or stimuli (Chater et al., 2017; Gigerenzer and Gaissmaier, 2011), and related work in strategy (e.”