Two open questions in the reformist agenda of the philosophy of cognitive science

ALKSNIS, N., REYNOLDS, J. (2021). Revaluing the behaviorist ghost in enactivism and embodied cognition. In: «Synthese», vol. CXCVIII, n. 6, pp. 5785-5807.

ANDERSON, M. (2014). After phrenology, MIT Press, Cambridge (MA).

ANDERSON, M., CHEMERO, A. (2013). The problem with brain GUTs: Conflation of different senses of “prediction” threatens metaphysical disaster. In: «Behavioral and Brain Sciences», vol. XXXVI, n. 3, pp. 204-205.

ANDERSON, M., CHEMERO, A. (2019). The world well gained: On the epistemic implication of ecological information. In: M. COLOMBO, E. IRVINE, M. STAPLE-TON (eds.), Andy Clark and his critics, Oxford University Press, Oxford, pp. 161-174.

BALLARD, D. (1991). Animate vision. In: «Artificial Intelligence», vol. XLVIII, n. 1, pp. 57-86.

BARRETT, L. (2019). Supercharged apes versus supersized minds. In: M. COLOMBO, E. IRVINE, M. STAPLETON (eds.), Andy Clark and his critics, Oxford University Press, Oxford, pp. 99-112.

BECHTEL, W. (1998). Representations and cognitive explanations: Assessing the dynamicist challenge in cognitive science. In: «Cognitive Science», vol. XXII, n. 3, pp. 295-318.

BECHTEL, W. (2001). The compatibility of complex systems and reduction: A case analysis of memory research. In: «Minds and Machines», vol. XI, n. 4, pp. 483-502.

BECHTEL, W. (2007). Mental mechanisms: Philosophical perspectives on cognitive neuroscience, Routledge, London.

BECHTEL, W. (2012). Referring to localized cognitive operations in parts of dynamically active brains. In: A. RAFTOPOULOS, P. MACHAMER (eds.), Perception, realism and the problem of reference, Cambridge University Press, Cambridge, pp. 262-284.

BECHTEL, W. (2013). Addressing the vitalist’s challenge to mechanistic science: Dynamic mechanistic explanation. In: S. NORMANDIN, C.T. WOLFE (eds.), Vitalism and the scientific image in post-enlightenment life science, 1800-2010, Springer, Dordrecht, pp. 345-370.

BECHTEL, W., ABRAHAMSEN, A. (2010). Dynamic mechanistic explanation: Computational modeling of circadian rhythms as an exemplar for cognitive science. In: «Studies in History and Philosophy of Science - Part A», vol. XLI, n. 3, pp. 321-333.

BECHTEL, W., GRAHAM, G., ABRAHAMSEN, A. (1998). The life of cognitive science. In: W. BECHTEL, G. GRAHAM (eds.), A companion to cognitive science, Blackwell, Oxford, pp. 1-104.

BECHTEL, W., RICHARDSON, R. (2010). Discovering complexity, Princeton University Press, Princeton (NJ).

BEER, R. (2000). Dynamical approaches to cognitive science. In: «Trends in Cognitive Sciences», vol. IV, n. 3, pp. 91-99.

BEER, R. (2003). The dynamics of active categorical perception in an evolved model agent. In: «Adaptive Behavior», vol. XI, n. 4, pp. 209-243.

BROOKS, R.A., FLYNN, A.M. (1989). Fast, cheap and out of control: A robot invasion of the solar system. In: «Journal of the British Interplanetary Society», vol. XLII, pp. 478-485.

BRUINEBERG, J., KIVERSTEIN, J., RIETVELD, E. (2016). The anticipating brain is not a scientist: The free-energy principle from an ecological-enactive perspective. In: «Synthese», vol. CXCV, n. 6, pp. 2417-44.

BULLMORE, E., SPORNS, O. (2009). Complex brain networks: Graph theoretical analysis of structural and functional systems. In: «Nature Reviews Neuroscience», vol. X, pp. 186-198.

CARRUTHERS, P. (2006). The architecture of the mind, Oxford University Press, Oxford.

CARRUTHERS, P. (2014). On central cognition. In: «Philosophical Studies», vol. CLXX, n. 1, pp. 143-162.

CARRUTHERS P. (2015). The centered mind, Oxford University Press, Oxford.

CHEMERO, A. (2009). Radical embodied cognitive science, MIT Press, Cambridge (MA).

CHEMERO, A., SILBERSTEIN, M. (2008). After the philosophy of mind: Replacing scholasticism with science. In: «Philosophy of Science», vol. LXXV, n. 1, pp. 1-27.

CLARK, A. (1997). Being there, MIT Press, Cambridge (MA).

CLARK, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. In: «Behavioral and Brain Science», vol. XXXVI, n. 3, pp. 181-204.

CLARK, A. (2015). Radical predictive processing. In: «The Southern Journal of Philosophy», vol. LIII, Splindel Supplement, pp. 3-27.

CLARK, A. (2015). Predicting peace: The end of the representation wars. A reply to Michael Madary. In: T. METZINGER, J.M. WINDT (eds.), Open MIND, MIND Group, Frankfurt a.M. – doi: 10.15502/ 9783958570979.

CLARK, A. (2016). Surfing Uncertainty, Oxford University Press, New York.

CLARK, A. (2019). Replies to critics. In: In search of the embodied, extended, enactive, predictive (EEE-P) mind. In: M. COLOMBO, E. IRVINE, M. STAPLETON (eds.), Andy Clark and his critics, Oxford University Press, Oxford, pp. 266-302.

CLARK, A., TORIBIO, J. (1994). Doing without representing?. In: «Synthese», vol. CI, n. 3, pp. 401-431.

DAW, N.D., GERSHMAN, S.J., SEYMOUR, B., DAYAN, P., DOLAN, R.J. (2011). Model-based influences on humans’ choices and striatal prediction errors. In: «Neuron», vol. LXIX, n. 6, pp. 1204-1215.

DEHAENE, S. (2014). Consciousness and the brain, Viking, New York.

DEISE, E.C. (2008). Frame problems, Fodor’s challenge, and practical reason, Ph.D. dissertation, University of Maryland, College Park.

DOŁĘGA, K. (2017). Moderate predictive processing. In: T. METZINGER, W. WIESE (eds.), Philosophy and predictive processing, MIND Group, Frankfurt a.M. – doi: 10.15502/9783958573116.

ELIASMITH, C. (1996). The third contender: A critical examination of the dynamicist theory of cognition. In: «Philosophical Psychology», vol. IX, n. 4, pp. 441-463.

ELIASMITH, C. (2007). How to build a brain: From function to implementation. In: «Synthese», vol. CLIII, n. 3, pp. 373-388.

FELDMAN, H., FRISTON, K.J. (2010). Attention, uncertainty, and free-energy. In: «Frontiers in Human Neuroscience», vol. IV, Art.Nr. 215 – doi: 10.3389/fnhum.2010.00215.

GALLAGHER, S. (2017). Enactivist interventions, Oxford University Press, Oxford.

GIBSON, J.J. (1966). The senses considered as perceptual systems, Allen & Unwin, London.

GŁADZIEJEWSKI, P. (2016). Predictive coding and representationalism. In: «Synthese», vol. CXCIII, n. 2, pp. 559-582.

GŁADZIEJEWSKI, P. (2017). Just how conservative is conservative predictive processing?. In: «Hybris», vol. XXXVIII, pp. 98-122.

GONG, G., HE, Y., CONCHA, L., LEBEL, C., GROSS, D.W., EVANS, A.C., BEALIEU, C. (2009). Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. In: «Cerebral Cortex», vol. XIX, n. 3, pp. 524-536.

HAUGELAND, J. (1998). Having thought, Harvard University Press, Cambridge (MA).

HOHWY, J. (2013). The predictive mind, Oxford University Press, Oxford.

HOHWY, J. (2012). Attention and conscious perception in the hypothesis testing brain. In: «Frontiers in Psychology», vol. III, Art. Nr. 96 - doi: 10.3389/fpsyg.2012.00096.

HOHWY, J. (2019). Quick’n’lean or slow and rich? Andy Clark on predictive processing and embodied cognition. In: M. COLOMBO, E. IRVINE, M. STAPLETON (eds.), Andy Clark and his critics, Oxford University Press, Oxford, pp. 191-205.

HUTCHINS, E. (1995). Cognition in the wild, MIT Press, Cambridge (MA).

JACOB, P., JEANNEROD, M. (2003). Ways of seeing: The scope and limits of visual cognition, Oxford University Press, Oxford.

KAPLAN, D.M., BECHTEL, W. (2011). Dynamical models: An alternative or complement to mechanistic explanations. In: «Topics in Cognitive Science», vol. III, n. 2, pp. 438-444.

KAPLAN, D.M., CRAVER, C.F. (2011). The explanatory force of dynamical and mathematical models in neuroscience: A mechanistic perspective. In: «Philosophy of Science», vol. LXXVIII, n. 4, pp. 601-627.

LUNGARELLA, M., SPORNS, O. (2005). Information self-structuring: Key principles for learning and development. In: «Proceedings 2005 IEEE International Conference on Development and Learning», pp. 25-30.

MACHERY, E. (2010). Philosophy of psychology. In: F. ALLHOFF (ed.), Philosophies of the sciences: A guide, Wiley-Blackwell, Malden (MA), pp. 262-292.

MARRAFFA, M., PATERNOSTER, A. (2017). Models and mechanisms in cognitive sciences. In: L. MAGNANI, T. BERTOLOTTI (eds.), Springer handbook of model-based science, Springer, Dordrecht/Heidelberg/London/ New York, pp. 929-952.

MCBEATH, M.K., SHAFFER, D.M., KAISER, M.K. (1995). How baseball outfielders determine where to run to catch fly balls. In: «Science», vol. CCLXVIII, n. 5210, pp. 569-573.

MILKOWSKI ET AL. (2018), From wide cognition to mechanisms: A silent revolution. In: «Frontiers in Psychology», vol. IX, Art. Nr. 2393 – doi:10.3389/fpsyg.2018.02393.

MILLIKAN, R. (2001). Pushmi-pullyu representations. In: L. MAY, M. FRIEDMAN, A. CLARK (eds.), Mind and morals, MIT Press, Cambridge (MA), pp. 145-161.

NEISSER, U. (1976). Cognition and reality, W.H. Freeman, San Francisco.

NEWEN, A., DE BRUIN, L., GALLAGHER, S. (eds.) (2018). The Oxford handbook of 4E cognition. Oxford University Press, Oxford.

ORLANDI, N. (2016). Bayesian perception is ecological perception. In: «Philosophical Topics», vol. XLIV, n. 2, pp. 327-352.

PORT, R., VAN GELDER, T.J. (eds.) (1995). Mind as motion, MIT Press, Cambridge (MA).

RAO, R., BALLARD, D. (1999). Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive field-effects. In: «Nature Neuroscience», vol. II, n. 1, pp. 79-87.

ROWLANDS, M., LAU, J., DEUTSCH, M. (2020). Externalism about the mind. In: E.N. ZALTA (ed.), The Stanford encyclopedia of philosophy, URL: .

SANCHES DE OLIVEIRA, G., RAJA, V., CHEMERO, A. (2021). Radical embodied cognitive science and “real cognition”. In: «Synthese», vol. CXCVIII, n. 1, pp. 115-136.

SCHNEIDER, W. (1987). Connectionism: Is it a paradigm shift for psychology? In: «Behavior Research Methods, Instruments, and Computers», vol. XIX, n. 2, pp. 73-83.

SHANAHAN, M. (2010). Embodiment and the inner life, Oxford University Press, New York.

SHAPIRO, L., SPAULDING, S. (2021). Embodied cognition. In: E.N. ZALTA (ed.), The Stanford encyclopedia of philosophy, URL: https://plato.stanford.edu/archives/win 2021/entries/embodied-cognition/.

SHEA, N. (2014). VI-exploitable isomorphism and structural representation. In: «Proceedings of the Aristotelian Society», vol. CXIV, pp. 123-144.

SHEPARD, R.N. (1984). Ecological constraints on internal representation: resonant kinematics of perceiving, imagining, thinking, and dreaming. In: «Psychological Review», vol. XCI, n. 4, pp. 417-447.

SIGNA, A., CHELLA, A., GENTILE, M. (2021). Cognitive robots and the conscious mind: A review of the global workspace Theory. In: «Current Robotics Reports», vol. II, pp. 125-131.

SPRATLING, M. (2017). A review of predictive coding algorithms. In: «Brain and Cognition», vol. CXII, pp. 92-97.

VAN GELDER, T.J. (1995). What might cognition be, if not computation?. In: «Journal of Philosophy», vol. XCII, n. 7, pp. 345-381.

VAN GELDER, T.J. (1999). Dynamic approaches to cognition. In: R. WILSON, F. KEIL (eds.), The MIT encyclopedia of the cognitive sciences, MIT Press, Cambridge (MA), pp. 244-246.

VAN ORDEN, G.C., PENNINGTON, B.F., STONE, G.O. (2001). What do double dissociations prove?. In: «Cognitive Science», vol. XXV, pp. 111-172.

VARELA, F.J., THOMPSON, E., ROSCH, E. (1991). The embodied mind, MIT Press, Cambridge (MA).

WALMSLEY, J. (2008). Explanation in dynamical cognitive science. In: «Minds & Machines», vol. XVIII, n. 3, pp. 331-482.

WHYTE, C. (2019). Integrating the global neuronal work-space into the framework of predictive processing: Towards a working hypothesis, in: «Consciousness and Cognition», vol. LXXIII, Art. Nr. 102763 - doi: 10.1016/j.concog.2019.102763.

WIESE, W. (2016). What are the contents of representations in predictive processing?. In: «Phenomenology and Cognitive Sciences», vol. XVI, n. 4, pp. 1-22.

WILLIAMS, D. (2018). Predictive processing and the representation wars. In: «Minds and Machines», vol. XXVIII, n. 1, pp. 141-172.

WILSON, M. (2002). Six views of embodied cognition. In: «Psychonomic Bulletin and Review», vol. IX, n. 4, pp. 625-636.

留言 (0)

沒有登入
gif