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Reinforcement Learning and Counterfactual Reasoning Explain Adaptive Behavior in a Changing Environment.

, , and . Top. Cogn. Sci., 7 (2): 368-381 (2015)

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Validating a High Level Behavioral Representation Language (HERBAL): A Docking Study for ACT-R., , , and . BICA, volume 221 of Frontiers in Artificial Intelligence and Applications, page 181-188. IOS Press, (2010)A Functional Model of Sensemaking in a Neurocognitive Architecture., , , , , , and . Comput. Intell. Neurosci., (2013)ACT-R models of information foraging in geospatial intelligence tasks., and . Comput. Math. Organ. Theory, 21 (3): 274-295 (2015)Reinforcement Learning and Counterfactual Reasoning Explain Adaptive Behavior in a Changing Environment., , and . Top. Cogn. Sci., 7 (2): 368-381 (2015)Cognitive Biases in a Geospatial Intelligence Analysis Task: An ACT-R Model., , , and . CogSci, cognitivesciencesociety.org, (2012)Modeling Surgical Skill Learning with Cognitive Simulation., , , , , , and . MMVR, volume 163 of Studies in Health Technology and Informatics, page 428-432. IOS Press, (2011)Reinforcement learning and instance-based learning approaches to modeling human decision making in a prognostic foraging task., , , , and . ICDL-EPIROB, page 116-122. IEEE, (2015)Reinforcement learning and counterfactual reasoning explain adaptive behavior in a changing environment., , and . CogSci, cognitivesciencesociety.org, (2014)