References American Psychiatric Association, & American Psychiatric Association (Eds.). (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (5th ed). Washington, D.C: American Psychiatric Association. Bach, D. R., & Dolan, R. J. (2012). Knowing how much you don’t know: a neural organization of uncertainty estimates. Nature Reviews Neuroscience, 13(8), 572–586. https://doi.org/10.1038/nrn3289 Badre, D., Doll, B. B., Long, N. M., & Frank, M. J. (2012). Rostrolateral Prefrontal Cortex and Individual Differences in Uncertainty-Driven Exploration. Neuron, 73(3), 595–607. https://doi.org/10.1016/j.neuron.2011.12.025 Behar, E., Alcaine, O., Zuellig, A. R., & Borkovec, T. D. (2003). Screening for generalized anxiety disorder using the Penn State Worry Questionnaire: a receiver operating characteristic analysis. Journal of Behavior Therapy and Experimental Psychiatry, 34(1), 25–43. https://doi.org/10.1016/S0005-7916(03)00004-1 Borkovec, T. D., Alcaine, O. M., & Behar, E. (2004). Avoidance Theory of Worry and Generalized Anxiety Disorder. In Generalized anxiety disorder: Advances in research and practice. (pp. 77–108). New York, NY, US: Guilford Press. Botvinick, M. (2012). Hierarchical reinforcement learning and decision making. Current Opinion in Neurobiology, 22(6), 956–962. https://doi.org/10.1016/j.conb.2012.05.008 Botvinick, M., & Braver, T. (2015). Motivation and Cognitive Control: From Behavior to Neural Mechanism. Annual Review of Psychology, 66(1), 83–113. https://doi.org/10.1146/annurevpsych-010814-015044 Brown, T. A., Antony, M. M., & Barlow, D. H. (1992). Psychometric properties of the Penn state worry questionnaire in a clinical anxiety disorders sample. Behaviour Research and Therapy, 30(1), 33–37. https://doi.org/10.1016/0005-7967(92)90093-V Browning, M., Behrens, T. E., Jocham, G., O’Reilly, J. X., & Bishop, S. J. (2015). Anxious individuals have difficulty learning the causal statistics of aversive environments. Nature Neuroscience, 18(4), 590–596. https://doi.org/10.1038/nn.3961 Brydevall, M., Bennett, D., Murawski, C., & Bode, S. (2018). The neural encoding of information prediction errors during non-instrumental information seeking. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-24566-x Carleton, R. N. (2016). Fear of the unknown: One fear to rule them all? Journal of Anxiety Disorders, 41, 5–21. https://doi.org/10.1016/j.janxdis.2016.03.011 Carleton, R. N., Norton, M. A. P. J., & Asmundson, G. J. G. (2007). Fearing the unknown: A short version of the Intolerance of Uncertainty Scale. Journal of Anxiety Disorders, 21(1), 105– 117. https://doi.org/10.1016/j.janxdis.2006.03.014 Charpentier, C. J., Bromberg-Martin, E. S., & Sharot, T. (2018). Valuation of knowledge and ignorance in mesolimbic reward circuitry. Proceedings of the National Academy of Sciences, 115(31), E7255–E7264. https://doi.org/10.1073/pnas.1800547115 Chiew, K. S., & Braver, T. S. (2016). Reward favours the prepared: incentive and taskinformative cues interact to enhance attentional control. Journal of Experimental Psychology. Human Perception and Performance, 42(1), 52–66. https://doi.org/10.1037/xhp0000129 Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(3), 181–204. https://doi.org/10.1017/S0140525X12000477 Csikszentmihalyi, M. (2014). Flow and the Foundations of Positive Psychology. https://doi.org/10.1007/978-94-017-9088-8 Daddaoua, N., Lopes, M., & Gottlieb, J. (2016). Intrinsically motivated oculomotor exploration guided by uncertainty reduction and conditioned reinforcement in non-human primates. Scientific Reports, 6(1). https://doi.org/10.1038/srep20202 Dash, S. R., Meeten, F., & Davey, G. C. L. (2013). Systematic information processing style and perseverative worry. Clinical Psychology Review, 33(8), 1041–1056. https://doi.org/10.1016/j.cpr.2013.08.007 Davey, G. C. L., Tallis, F., & Capuzzo, N. (1996). Beliefs about the consequences of worrying. Cognitive Therapy and Research, 20(5), 499–520. https://doi.org/10.1007/BF02227910 Davey, G., & Meeten, F. (2016). The perseverative worry bout: A review of cognitive, affective and motivational factors that contribute to worry perseveration. Biological Psychology, 121, 233–243. https://doi.org/10.1016/j.biopsycho.2016.04.003 Davey, Startup, H. M., MacDonald, C. B., Jenkins, D., & Patterson, K. (2005). The Use of “As Many As Can” Versus “Feel Like Continuing” Stop Rules During Worrying. Cognitive Therapy and Research, 29(2), 155–169. https://doi.org/10.1007/s10608-005-3162-5 Davey, & Wells, A. (Eds.). (2006). Worry and its psychological disorders: theory, assessment, and treatment. Chichester, England ; Hoboken, NJ: Wiley. Eliaz, K., & Schotter, A. (2010). Paying for confidence: An experimental study of the demand for non-instrumental information. Games and Economic Behavior, 70(2), 304–324. https://doi.org/10.1016/j.geb.2010.01.006 Eysenck, M. W., & Derakshan, N. (2011). New perspectives in attentional control theory. Personality and Individual Differences, 50(7), 955–960. https://doi.org/10.1016/j.paid.2010.08.019 Fergus, T. A., & Carleton, R. N. (2016). Intolerance of uncertainty and attentional networks: Unique associations with alerting. Journal of Anxiety Disorders, 41, 59–64. https://doi.org/10.1016/j.janxdis.2016.03.010 Foa, E. B., & Kozak, M. J. (1986). Emotional processing of fear: Exposure to corrective information. Psychological Bulletin, 99(1), 20–35. https://doi.org/10.1037/0033-2909.99.1.20 Foley, N. C., Kelly, S. P., Mhatre, H., Lopes, M., & Gottlieb, J. (2017). Parietal neurons encode expected gains in instrumental information. Proceedings of the National Academy of Sciences, 114(16), E3315–E3323. https://doi.org/10.1073/pnas.1613844114 Freeston, M. H., Rhéaume, J., Letarte, H., Dugas, M. J., & Ladouceur, R. (1994). Why do people worry? Personality and Individual Differences, 17(6), 791–802. https://doi.org/10.1016/01918869(94)90048-5 Glaze, C. M., Filipowicz, A. L. S., Kable, J. W., Balasubramanian, V., & Gold, J. I. (2018). A bias–variance trade-off governs individual differences in on-line learning in an unpredictable environment. Nature Human Behaviour, 2(3), 213–224. https://doi.org/10.1038/s41562-0180297-4 Glaze, C. M., Kable, J. W., & Gold, J. I. (2015). Normative evidence accumulation in unpredictable environments. ELife, 4. https://doi.org/10.7554/eLife.08825 Gottlieb, J., Oudeyer, P.-Y., Lopes, M., & Baranes, A. (2013). Information-seeking, curiosity, and attention: computational and neural mechanisms. Trends in Cognitive Sciences, 17(11), 585– 593. https://doi.org/10.1016/j.tics.2013.09.001 Gratton, G., Cooper, P., Fabiani, M., Carter, C. S., & Karayanidis, F. (2018). Dynamics of cognitive control: Theoretical bases, paradigms, and a view for the future. Psychophysiology, 55(3), e13016. https://doi.org/10.1111/psyp.13016 Hallion, L. S., & Ruscio, A. M. (2013). Should uncontrollable worry be removed from the definition of GAD? A test of incremental validity. Journal of Abnormal Psychology, 122(2), 369–375. https://doi.org/10.1037/a0031731 Hallion, L. S., Tolin, D. F., Billingsley, A. L., Kusmierski, S. N., & Diefenbach, G. J. (2019). “Cold” Cognitive Control and Attentional Symptoms in Anxiety: Perceptions versus Performance. Behavior Therapy. https://doi.org/10.1016/j.beth.2019.04.002 Hebert, E. A., Dugas, M. J., Tulloch, T. G., & Holowka, D. W. (2014). Positive beliefs about worry: A psychometric evaluation of the Why Worry-II. Personality and Individual Differences, 56, 3–8. https://doi.org/10.1016/j.paid.2013.08.009 Hirsch, C. R., & Mathews, A. (2012). A cognitive model of pathological worry. Behaviour Research and Therapy, 50(10), 636–646. https://doi.org/10.1016/j.brat.2012.06.007 Kruschke, J. K. (2011). Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison. Perspectives on Psychological Science, 6(3), 299–312. https://doi.org/10.1177/1745691611406925 Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013). An opportunity cost model of subjective effort and task performance. Behavioral and Brain Sciences, 36(06), 661–679. https://doi.org/10.1017/S0140525X12003196 Landy, M. S., Banks, M. S., & Knill, D. C. (2011). Ideal-Observer Models of Cue Integration. In J. Trommershäuser, K. Kording, & M. S. Landy (Eds.), Sensory Cue Integration (pp. 5–29). https://doi.org/10.1093/acprof:oso/9780195387247.003.0001 Ledbetter, N. M., Chen, C. D., & Monosov, I. E. (2016). Multiple Mechanisms for Processing Reward Uncertainty in the Primate Basal Forebrain. The Journal of Neuroscience, 36(30), 7852– 7864. https://doi.org/10.1523/JNEUROSCI.1123-16.2016 Llera, S. J., & Newman, M. G. (2014). Rethinking the Role of Worry in Generalized Anxiety Disorder: Evidence Supporting a Model of Emotional Contrast Avoidance. Behavior Therapy, 45(3), 283–299. https://doi.org/10.1016/j.beth.2013.12.011 Manohar, S. G., Chong, T. T.-J., Apps, M. A. J., Batla, A., Stamelou, M., Jarman, P. R., … Husain, M. (2015). Reward Pays the Cost of Noise Reduction in Motor and Cognitive Control. Current Biology, 25(13), 1707–1716. https://doi.org/10.1016/j.cub.2015.05.038 Meyer, T. J., Miller, M. L., Metzger, R. L., & Borkovec, T. D. (1990). Development and validation of the penn state worry questionnaire. Behaviour Research and Therapy, 28(6), 487– 495. https://doi.org/10.1016/0005-7967(90)90135-6 Molina, S., & Borkovec, T. D. (1994). The Penn State Worry Questionnaire: Psychometric properties and associated characteristics. In Wiley Series in Clinical Psychology. Worrying: Perspectives on theory, assessment and treatment. (pp. 265–283). Oxford, England: John Wiley & Sons. Morriss, J., Gell, M., & van Reekum, C. M. (2019). The uncertain brain: A co-ordinate based meta-analysis of the neural signatures supporting uncertainty during different contexts. Neuroscience & Biobehavioral Reviews, 96, 241–249. https://doi.org/10.1016/j.neubiorev.2018.12.013 Nassar, M. R., Wilson, R. C., Heasly, B., & Gold, J. I. (2010). An Approximately Bayesian Delta-Rule Model Explains the Dynamics of Belief Updating in a Changing Environment. Journal of Neuroscience, 30(37), 12366–12378. https://doi.org/10.1523/JNEUROSCI.082210.2010 Newman, M. G., & Llera, S. J. (2011). A novel theory of experiential avoidance in generalized anxiety disorder: A review and synthesis of research supporting a contrast avoidance model of worry. Clinical Psychology Review, 31(3), 371–382. https://doi.org/10.1016/j.cpr.2011.01.008 Newman, M. G., Llera, S. J., Erickson, T. M., Przeworski, A., & Castonguay, L. G. (2013). Worry and Generalized Anxiety Disorder: A Review and Theoretical Synthesis of Evidence on Nature, Etiology, Mechanisms, and Treatment. Annual Review of Clinical Psychology, 9(1), 275–297. https://doi.org/10.1146/annurev-clinpsy-050212-185544 Parr, T., Rees, G., & Friston, K. J. (2018). Computational Neuropsychology and Bayesian Inference. Frontiers in Human Neuroscience, 12. https://doi.org/10.3389/fnhum.2018.00061 Paulus, M. P. (2015). Cognitive control in depression and anxiety: out of control? Current Opinion in Behavioral Sciences, 1, 113–120. https://doi.org/10.1016/j.cobeha.2014.12.003 Price, R. B., & Mohlman, J. (2007). Inhibitory control and symptom severity in late life generalized anxiety disorder. Behaviour Research and Therapy, 45(11), 2628–2639. https://doi.org/10.1016/j.brat.2007.06.007 Robinson, O. J., Vytal, K., Cornwell, B. R., & Grillon, C. (2013). The impact of anxiety upon cognition: perspectives from human threat of shock studies. Frontiers in Human Neuroscience, 7. https://doi.org/10.3389/fnhum.2013.00203 Roxburgh, A. D., Hughes, M. E., & Cornwell, B. R. (2019). Threat-induced anxiety weakens inhibitory control. Biological Psychology, 144, 99–102. https://doi.org/10.1016/j.biopsycho.2019.03.009 Savine, A. C., Beck, S. M., Edwards, B. G., Chiew, K. S., & Braver, T. S. (2010). Enhancement of cognitive control by approach and avoidance motivational states. Cognition & Emotion, 24(2), 338–356. https://doi.org/10.1080/02699930903381564 Schultz, W. (2016). Dopamine reward prediction error coding. Dialogues in Clinical Neuroscience, 18(1), 23–32. Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T. L., Cohen, J. D., & Botvinick, M. M. (2017). Toward a Rational and Mechanistic Account of Mental Effort. Annual Review of Neuroscience, 40(1), 99–124. https://doi.org/10.1146/annurev-neuro-072116-031526 Shihata, S., McEvoy, P. M., & Mullan, B. A. (2017). Pathways from uncertainty to anxiety: An evaluation of a hierarchical model of trait and disorder-specific intolerance of uncertainty on anxiety disorder symptoms. Journal of Anxiety Disorders, 45, 72–79. https://doi.org/10.1016/j.janxdis.2016.12.001 Shihata, S., McEvoy, P. M., Mullan, B. A., & Carleton, R. N. (2016). Intolerance of uncertainty in emotional disorders: What uncertainties remain? Journal of Anxiety Disorders, 41, 115–124. https://doi.org/10.1016/j.janxdis.2016.05.001 Smallwood, J., & Schooler, J. W. (2015). The Science of Mind Wandering: Empirically Navigating the Stream of Consciousness. Annual Review of Psychology, 66(1), 487–518. https://doi.org/10.1146/annurev-psych-010814-015331 Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press. Stapinski, L. A., Abbott, M. J., & Rapee, R. M. (2010). Evaluating the cognitive avoidance model of generalised anxiety disorder: Impact of worry on threat appraisal, perceived control and anxious arousal. Behaviour Research and Therapy, 48(10), 1032–1040. https://doi.org/10.1016/j.brat.2010.07.005 Starkweather, C. K., Gershman, S. J., & Uchida, N. (2018). The Medial Prefrontal Cortex Shapes Dopamine Reward Prediction Errors under State Uncertainty. Neuron, 98(3), 616-629.e6. https://doi.org/10.1016/j.neuron.2018.03.036 Tenenbaum, J. B., Griffiths, T. L., & Kemp, C. (2006). Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences, 10(7), 309–318. https://doi.org/10.1016/j.tics.2006.05.009 Yee, D. M., & Braver, T. S. (2018). Interactions of Motivation and Cognitive Control. Current Opinion in Behavioral Sciences, 19, 83–90. https://doi.org/10.1016/j.cobeha.2017.11.009