Topics in Cognitive Science 8 (1):242-258 (2016)
Abstract |
Decisions in the environmental and in particular the climate domain are burdened with uncertainty. Here, we focus on uncertainties faced by individuals when making decisions about environmental behavior, and we use the statistical sampling framework to develop a classification of different sources of uncertainty they encounter. We then map these sources to different public policy strategies aiming to help individuals cope with uncertainty when making environmental decisions
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Keywords | Environment Public policy Risk Uncertainty Climate change Sampling Decision making |
Categories | (categorize this paper) |
DOI | 10.1111/tops.12172 |
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References found in this work BETA
Experimental and Quasi-Experimental Designs for Generalized Causal Inference.William R. Shadish - 2001 - Boston: Houghton Mifflin.
Homo Heuristicus: Why Biased Minds Make Better Inferences.Gerd Gigerenzer & Henry Brighton - 2009 - Topics in Cognitive Science 1 (1):107-143.
Heuristic Decision Making.Gerd Gigerenzer & Wolfgang Gaissmaier - 2011 - Annual Review of Psychology 62:451-482.
Toward a Method of Selecting Among Computational Models of Cognition.Mark A. Pitt, In Jae Myung & Shaobo Zhang - 2002 - Psychological Review 109 (3):472-491.
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Citations of this work BETA
Future Global Change and Cognition.Stephan Lewandowsky - 2016 - Topics in Cognitive Science 8 (1):7-18.
Communicating Uncertainty Using Words and Numbers.Mandeep K. Dhami & David R. Mandel - 2022 - Trends in Cognitive Sciences 26 (6):514-526.
The Role of Type and Source of Uncertainty on the Processing of Climate Models Projections.Daniel M. Benjamin & David V. Budescu - 2018 - Frontiers in Psychology 9.
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