People can learn about the probabilistic consequences of their actions in two ways: One is
by consulting descriptions of an action's consequences and probabilities (eg, reading up on …

The weight information has been playing a key role in information fusion and dynamic
decision making process. Most existing methods for determining weights under dynamic …

Behavioral decision theories aim to explain human behavior. Can they help predict it? An
open tournament for prediction of human choices in fundamental economic decision tasks is …

The modern world holds countless risks for humanity, both large-scale and intimately
personal—from cyberwarfare, pandemics, and climate change to sexually transmitted …

The authors introduce the contextual multi-armed bandit task as a framework to investigate
learning and decision making in uncertain environments. In this novel paradigm, participants …

How does the information source—experiential or descriptive—used by nascent
entrepreneurs affect their performance expectations? Since judgments based on experience …

Decisions-makers often have access to a combination of descriptive and experiential
information, but limited research so far has explored decisions made using both. Three …

In many important real-world decision domains, such as finance, the environment, and
health, behavior is strongly influenced by experience. Renewed interest in studying this …

Decision makers seem to evaluate risky options differently depending on the learning mode—
that is, whether they learn about the options' payoff distributions from a summary description …

Pervasive noise undermines many cognitive processes. Across two studies, we examined
how noise influences experience-based decision-making and whether the nature of the …