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  1. Short Term Gains, Long Term Pains: How Cues About State Aid Learning in Dynamic Environments.Bradley C. Love Todd M. Gureckis - 2009 - Cognition 113 (3):293.
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  • Uncertainty and Exploration in a Restless Bandit Problem.Maarten Speekenbrink & Emmanouil Konstantinidis - 2015 - Topics in Cognitive Science 7 (2):351-367.
    Decision making in noisy and changing environments requires a fine balance between exploiting knowledge about good courses of action and exploring the environment in order to improve upon this knowledge. We present an experiment on a restless bandit task in which participants made repeated choices between options for which the average rewards changed over time. Comparing a number of computational models of participants’ behavior in this task, we find evidence that a substantial number of them balanced exploration and exploitation by (...)
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  • Melioration as rational choice: Sequential decision making in uncertain environments.Chris R. Sims, Hansjörg Neth, Robert A. Jacobs & Wayne D. Gray - 2013 - Psychological Review 120 (1):139-154.
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  • Epistemic spillovers: Learning others’ political views reduces the ability to assess and use their expertise in nonpolitical domains.Joseph Marks, Eloise Copland, Eleanor Loh, Cass R. Sunstein & Tali Sharot - 2019 - Cognition 188:74-84.
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  • BUCKLE: A model of unobserved cause learning.Christian C. Luhmann & Woo-Kyoung Ahn - 2007 - Psychological Review 114 (3):657-677.
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  • When children are better (or at least more open-minded) learners than adults: Developmental differences in learning the forms of causal relationships.Christopher G. Lucas, Sophie Bridgers, Thomas L. Griffiths & Alison Gopnik - 2014 - Cognition 131 (2):284-299.
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  • Confirmation, disconfirmation, and information in hypothesis testing.Joshua Klayman & Young-won Ha - 1987 - Psychological Review 94 (2):211-228.
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  • Belief polarization is not always irrational.Alan Jern, Kai-min K. Chang & Charles Kemp - 2014 - Psychological Review 121 (2):206-224.
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  • Short-term gains, long-term pains: How cues about state aid learning in dynamic environments.Todd M. Gureckis & Bradley C. Love - 2009 - Cognition 113 (3):293-313.
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  • Deconstructing the human algorithms for exploration.Samuel J. Gershman - 2018 - Cognition 173 (C):34-42.
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  • Temporal delays can facilitate causal attribution: Towards a general timeframe bias in causal induction.Marc J. Buehner & Stuart McGregor - 2006 - Thinking and Reasoning 12 (4):353 – 378.
    Two variables are usually recognised as determinants of human causal learning: the contingency between a candidate cause and effect, and the temporal and/or spatial contiguity between them. A common finding is that reductions in temporal contiguity produce concomitant decrements in causal judgement. This finding had previously (Shanks & Dickinson, 1987) been interpreted as evidence that causal induction is based on associative learning processes. Buehner and May (2002, 2003, 2004) have challenged this notion by demonstrating that the impact of temporal delay (...)
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  • Assessment of covariation by humans and animals: The joint influence of prior expectations and current situational information.Lauren B. Alloy & Naomi Tabachnik - 1984 - Psychological Review 91 (1):112-149.
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  • Partisan Bias in Factual Beliefs about Politics.J. G. Bullock, A. S. Gerber, S. J. Hill & G. A. Huber - unknown
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