Modeling the Ellsberg Paradox by Argument Strength
March 09, 2017 Β· Declared Dead Β· π Annual Meeting of the Cognitive Science Society
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Authors
Niki Pfeifer, Hanna Pankka
arXiv ID
1703.03233
Category
cs.AI: Artificial Intelligence
Cross-listed
math.LO,
math.PR
Citations
4
Venue
Annual Meeting of the Cognitive Science Society
Last Checked
4 months ago
Abstract
We present a formal measure of argument strength, which combines the ideas that conclusions of strong arguments are (i) highly probable and (ii) their uncertainty is relatively precise. Likewise, arguments are weak when their conclusion probability is low or when it is highly imprecise. We show how the proposed measure provides a new model of the Ellsberg paradox. Moreover, we further substantiate the psychological plausibility of our approach by an experiment (N = 60). The data show that the proposed measure predicts human inferences in the original Ellsberg task and in corresponding argument strength tasks. Finally, we report qualitative data taken from structured interviews on folk psychological conceptions on what argument strength means.
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