Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain.
نویسندگان
چکیده
منابع مشابه
THEORETICAL NOTES Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain
Several norms for how people should assess a question’s usefulness have been proposed, notably Bayesian diagnosticity, information gain (mutual information), Kullback–Liebler distance, probability gain (error minimization), and impact (absolute change). Several probabilistic models of previous experiments on categorization, covariation assessment, medical diagnosis, and the selection task are s...
متن کاملFinding useful questions: on Bayesian diagnosticity, probability, impact, and information gain.
Several norms for how people should assess a question's usefulness have been proposed, notably Bayesian diagnosticity, information gain (mutual information), Kullback-Liebler distance, probability gain (error minimization), and impact (absolute change). Several probabilistic models of previous experiments on categorization, covariation assessment, medical diagnosis, and the selection task are s...
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One of the most popular paradigms to use for studying human reasoning involves the Wason card selection task. In this task, the participant is presented with four cards and a conditional rule (e.g., "If there is an A on one side of the card, there is always a 2 on the other side"). Participants are asked which cards should be turned to verify whether or not the rule holds. In this simple task, ...
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ژورنال
عنوان ژورنال: Psychological Review
سال: 2005
ISSN: 1939-1471,0033-295X
DOI: 10.1037/0033-295x.112.4.979