How Robust Are Probabilistic Models of Higher-Level Cognition?
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Srini Turaga
Jan 29, 2014, 10:40:36 AM1/29/14
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Has anyone seen this paper? It's a pretty direct attack on research by Josh Tenenbaum (and his students). I'd be curious what the computational cognitive scientists think.
http://pss.sagepub.com/content/24/12/2351.long
How Robust Are Probabilistic Models of Higher-Level Cognition?
• Gary F. Marcus
• Ernest Davis
Abstract
An increasingly popular theory holds that the mind should be viewed as a near-optimalor rational engine of probabilistic inference, in domains as diverse as word learning, pragmatics, naive physics, and predictions of the future. We argue that this view, often identified with Bayesian models of inference, is markedly less promising than widely believed, and is undermined by post hoc practices that merit wholesale reevaluation. We also show that the common equation between probabilistic andrational or optimal is not justified.
http://pss.sagepub.com/content/24/12/2351.long
How Robust Are Probabilistic Models of Higher-Level Cognition?
• Gary F. Marcus
• Ernest Davis
Abstract
An increasingly popular theory holds that the mind should be viewed as a near-optimalor rational engine of probabilistic inference, in domains as diverse as word learning, pragmatics, naive physics, and predictions of the future. We argue that this view, often identified with Bayesian models of inference, is markedly less promising than widely believed, and is undermined by post hoc practices that merit wholesale reevaluation. We also show that the common equation between probabilistic andrational or optimal is not justified.
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