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This book offers a framework for making decisions under risk and uncertainty.
Agent-based simulations may be a way to model human society behavior in decisions under risk.
A new laboratory experiment is designed to identify the best theories for describing decisions under risk.
Experimental studies have documented an affection effect in general decisions under risk as well as in insurance demand decisions.
Decisions under risk have been shown to differ depending on whether information on outcomes and probabilities is gleaned from symbolic descriptions or gathered through experience.
Kahneman's research with Amos Tversky on decision making under uncertainty resulted in the formulation of a new branch of economics, prospect theory, which was the subject of their seminal article "Prospect Theory: An Analysis of Decisions Under Risk" (1979).
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The contribution of this paper to a general theory of software engineering is twofold: it presents the model system concept, and it integrates the software engineering design process into a decision making theory and a value-based decision-under-risk process.
Toward a cognitive neuroscience of decision under risk.
Kahneman, Daniel and Amos Tversky, "Prospect theory: An analysis of decision under risk," Econometrica, 47, 263-291.
Our experiments support the relevance of so-called comparative optimism in decision under risk.
* Kahneman, D., and Tversky, A. "Prospect Theory: An Analysis of Decision Under Risk," Econometrica, Vol. 47, pp. 263-292 (1979).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com