How and why actions are selected: action selection and the dark room problem

Arias-Carrión, Ó. & Pöppel, E. 2007. Dopamine, learning, and reward-seeking behavior. Acta neurobiologiae experimentalis, 67 (4): 481-488.Search in Google Scholar

Barron, A. B. Søvik, E. & Cornish, J. L. 2010. The roles of dopamine and related compounds in reward-seeking behavior across animal phyla. Frontiers in behavioral neuroscience, 4 (163).10.3389/fnbeh.2010.00163Search in Google Scholar

Basso, M. A., & Wurtz, R. H. 1997. Modulation of neuronal activity by target uncertainty. Nature, 389 (6646), 66-69.Search in Google Scholar

Biederman, I. 1987. Recognition-by-components: a theory of human image understanding. Psychological review, 94 (2), 115.Search in Google Scholar

Brown, H., Friston, K. & Bestmann, S. 2011. Active inference, attention, and motor preparation. Frontiers in psychology, 2 (218).10.3389/fpsyg.2011.00218Search in Google Scholar

Chapman, P. 1982. The Origins of Troglobites. Proceedings of the University of Bristol Spelaeological Society 16 (2): 133–141.Search in Google Scholar

Clark, A. 2012. Dreaming the Whole Cat: Generative Models, Predictive Processing, and the Enactivist Conception of Perceptual Experience. Mind, 121 (483): 753-771.10.1093/mind/fzs106Search in Google Scholar

Clark, A. 2013. Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36 (3), 181-204.Search in Google Scholar

Clark, A. 2014. Perceiving as Predicting. In Mohan, M., Biggs, S., & Stokes, D. (eds.). Perception and Its Modalities. New York: Oxford University Press.10.1093/acprof:oso/9780199832798.003.0002Search in Google Scholar

Dickinson, A. & Balleine, B. 2002. The role of learning in the operation of motivational systems. In C. R. Gallistel. (ed). Steven’s handbook of experimental psychology: Learning, motivation and emotion. Volume 3. 3rd edition. New York: John Wiley & Sons.10.1002/0471214426.pas0312Search in Google Scholar

Eliasmith, C. 2007. How to build a brain: From function to implementation. Synthese, 159 (3): 373-388.10.1007/s11229-007-9235-0Search in Google Scholar

Friston, K. 2003. Learning and inference in the brain. Neural Networks, 16 (9): 1325-1352.10.1016/j.neunet.2003.06.005Search in Google Scholar

Friston, K.J., Daunizeau, J., & Kiebal, S.J., 2009 Reinforcement Learning or Active Inference? PLoS ONE 4 (7): e6421: 1-13.10.1371/journal.pone.0006421Search in Google Scholar

Friston, K. 2011. Embodied inference: Or I think therefore I am, if I am what I think. In Tschacher, W. & Bergomi, C. (eds.). The implications of embodiment: Cognition and communication. Exeter: Imprint Academic.Search in Google Scholar

Friston, K. & Stephan, K. E. 2007. Free-energy and the brain. Synthese, 159 (3): 417-458.10.1007/s11229-007-9237-ySearch in Google Scholar

Friston, K., Thornton, C. & Clark, A. 2012. Free-energy minimization and the dark-room problem. Frontiers in psychology 3 (130): 1-7.10.3389/fpsyg.2012.00130Search in Google Scholar

Glimcher, P. W. 2011. Foundations of neuroeconomic analysis. New York: Oxford University Press.10.1093/acprof:oso/9780199744251.001.0001Search in Google Scholar

Glimcher, P. W. & Sparks, D. L. 1992. Movement selection in advance of action in the superior colliculus. Nature, 355 (6360): 542-545.10.1038/355542a0Search in Google Scholar

Godfrey-Smith, P. 2002. Environmental complexity and the evolution of cognition. In Sternberg, R. & Kaufman, J. (eds.). The evolution of intelligence. Mahwah: Laurence Erlbaum Associates.Search in Google Scholar

Hohwy, J. 2010. The hypothesis testing brain: Some philosophical applications. In Christensen W., Schier, E. & Sutton, J. (eds.). ASCS09: Proceedings of the 9^thConference of the Australasian Society for Cognitive Science. Sydney: Macquarie Centre for Cognitive Science.10.5096/ASCS200922Search in Google Scholar

Hohwy, J., Roepstorff, A. & Friston, K. 2008. Predictive coding explains binocular rivalry: an epistemological review. Cognition, 108 (3): 687-701.10.1016/j.cognition.2008.05.010Search in Google Scholar

Houston, A. I., McNamara, J. M. & Steer, M. D. 2007. Do we expect natural selection to produce rational behaviour? Philosophical Transactions of the Royal Society B: Biological Sciences, 362 (1485): 1531-1543.Search in Google Scholar

Hubel, D. H. & Wiesel, T. N. 1965. Receptive fields and functional architecture in two nonstriate visual areas (18 and 19) of the cat. Journal of neurophysiology, 28 (2): 229-289.10.1152/jn.1965.28.2.229Search in Google Scholar

Huebner, B. 2012. Surprisal and valuation in the predictive brain. Frontiers in psychology, 3 (415).10.3389/fpsyg.2012.00415Search in Google Scholar

Kable, J. W. & Glimcher, P. W. 2007. The neural correlates of subjective value during intertemporal choice. Nature neuroscience, 10 (12): 1625-1633.10.1038/nn2007Search in Google Scholar

Knill, D. C. & Pouget, A. 2004. The Bayesian brain: the role of uncertainty in neural coding and computation. TRENDS in Neurosciences, 27 (12): 712-719.10.1016/j.tins.2004.10.007Search in Google Scholar

Lorenz, E. N. 1982. Atmospheric predictability experiments with a large numerical model. Tellus, 34(6): 505-513.10.3402/tellusa.v34i6.10836Search in Google Scholar

Maes, P. 1990. Situated agents can have goals. Robotics and autonomous systems, 6(1): 49-70.10.1016/S0921-8890(05)80028-4Search in Google Scholar

McClure, S. M., Laibson, D. I., Loewenstein, G. & Cohen, J. D. 2004. Separate neural systems value immediate and delayed monetary rewards. Science, 306 (5695): 503-507.10.1126/science.1100907Search in Google Scholar

Platt, M. L. & Glimcher, P. W. 1999. Neural correlates of decision variables in parietal cortex. Nature, 400(6741): 233-238.10.1038/22268Search in Google Scholar

Rauss, K., Schwartz, S. & Pourtois, G. 2011. Top-down effects on early visual processing in humans: a predictive coding framework. Neuroscience & Biobehavioral Reviews, 35(5): 1237-1253.10.1016/j.neubiorev.2010.12.011Search in Google Scholar

Riesenhuber, M. & Poggio, T. 2000. Models of object recognition. Nature neuroscience, 3: 1199-1204.Search in Google Scholar

Schall, J. D. & Hanes, D. P. 1993. Neural basis of saccade target selection in frontal eye field during visual search. Nature, 366 (6454): 467-469.10.1038/366467a0Search in Google Scholar

Schultz, W. 1998. Predictive reward signal of dopamine neurons. Journal of neurophysiology, 80 (1): 1-27.10.1152/jn.1998.80.1.1Search in Google Scholar

Shea, N. 2012. Reward Prediction Error Signals are Meta-Representational. Noûs, 48 (2): 314-341.10.1111/j.1468-0068.2012.00863.xSearch in Google Scholar

Sherrington, C. S. 1906. The Integrative Action of the Nervous System. Connecticut: Yale University Press.Search in Google Scholar

Spurrett, D. 2012. What is to be Done? Why Reward is Difficult to Do Without. Frontiers in psychology, 3: 412.Search in Google Scholar

Sterelny, K. 2003. Thought in a hostile world: The evolution of human cognition. Oxford: Blackwell Publishing Ltd.Search in Google Scholar

Tinbergen, N. 1951. The study of instinct. Michigan: Clarendon Press.Search in Google Scholar