Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key
problem in behavioral sciences is how the mind copes with uncertain information. Quantum …

The work cited by the Nobel committee was done jointly with the late Amos Tversky (1937–
1996) during a long and unusually close collaboration. Together, we explored a territory that …

In the past few decades, economic analysis of law has been challenged by a growing body
of experimental and empirical studies that attest to prevalent and systematic deviations from …

Classical (Bayesian) probability (CP) theory has led to an influential research tradition for
modeling cognitive processes. Cognitive scientists have been trained to work with CP …

The study of heuristics and biases in judgment has been criticized in several publications by
G. Gigerenzer, who argues that" biases are not biases" and" heuristics are meant to explain …

The work cited by the Nobel committee was done jointly with the late Amos Tversky (1937–
1996) during a long and unusually close collaboration. Together, we explored the …

This article presents a new theory of subjective probability according to which different
descriptions of the same event can give rise to different judgments. The experimental …

The program of research now known as the heuristics and biases approach began with a
study of the statistical intuitions of experts, who were found to be excessively confident in the …

A quantum probability model is introduced and used to explain human probability judgment
errors including the conjunction and disjunction fallacies, averaging effects, unpacking …

How do people think about the world? How do individuals make sense of their complex
social environment? What are the underlying mechanisms that determine our understanding …