A Unifying Computational Framework for Teaching and Active Learning
Topics in Cognitive Science 11 (2):316-337 (2019)
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This article has no associated abstract. (fix it)DOI
10.1111/tops.12405
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Citations of this work
Editors' Introduction: Computational Approaches to Social Cognition.Fiery Cushman & Samuel Gershman - 2019 - Topics in Cognitive Science 11 (2):281-298.
References found in this work
A Study of Thinking.Jerome S. Bruner, Jacqueline J. Goodnow & George A. Austin - 1958 - Philosophy and Phenomenological Research 19 (1):118-119.
Confirmation, disconfirmation, and information in hypothesis testing.Joshua Klayman & Young-won Ha - 1987 - Psychological Review 94 (2):211-228.
Inferring causal networks from observations and interventions.Mark Steyvers, Joshua B. Tenenbaum, Eric-Jan Wagenmakers & Ben Blum - 2003 - Cognitive Science 27 (3):453-489.
Generalized Information Theory Meets Human Cognition: Introducing a Unified Framework to Model Uncertainty and Information Search.Vincenzo Crupi, Jonathan D. Nelson, Björn Meder, Gustavo Cevolani & Katya Tentori - 2018 - Cognitive Science 42 (5):1410-1456.
Formalizing Neurath’s ship: Approximate algorithms for online causal learning.Neil R. Bramley, Peter Dayan, Thomas L. Griffiths & David A. Lagnado - 2017 - Psychological Review 124 (3):301-338.
