CORDIS Project
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This project aims to extend a model of inductive learning that integrates various reasoning approaches. It focuses on decision-making under uncertainty and explores the dynamics of case-based and rule-based reasoning.
In a recent paper with Larry Samuelson and David Schmeidler, we have proposed a model of inductive learning that unifies Bayesian, case-based, and rule-based learning.
The model allows one to study the dynamics of induction, and, in particular, it showed that under fairly reasonable conditions, a reasoner who does not know the process she is facing is likely to converge to put more weight on case-based reasoning viz. a viz.
Bayesian reasoning.
The present proposal aims to generalize and extend t…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
France, PARIS CEDEX 08
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
France, PARIS
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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