Citazione non strutturata

Anderson J.R. (1983). The architecture of cognition. Cambridge (MA): Harvard University Press.

Citazione non strutturata

Arbib M.A. (1992). Schema theory. In: Shapiro S., ed. Encyclopedia of artificial intelligence. 2nd Edition. New York: Wiley: 1427-1443.

Citazione non strutturata

Arbib M.A. (2003). The handbook of brain theory and neural networks. Cambridge: MIT Press.

Citazione non strutturata

Arkin R.C. (1998). Behavior-based robotics. Cambridge (MA): MIT Press.

Citazione non strutturata

Asada M., Hosoda K., Kuniyoshi Y., Ishiguro H., Inui T., Yoshikawa Y., Ogino M. and Yoshida C. (2009). Cognitive developmental robotics: a survey. IEEE Transactions on Autonomous Mental Development, 1, 1: 12-34.

https://doi.org/10.1109/TAMD.2009.2021702

10.1109/DEVLRN.2010.5578842

Citazione non strutturata

Barsalou L.W. (1999). Perceptual symbol system. Behavioral and Brain Science, 22: 577-600.

https://doi.org/10.1017/S0140525X99002149

Citazione non strutturata

Barsalou L.W. (2008). Grounded cognition. Annual Review of Psychology, 59: 617-645.

https://doi.org/10.1146/annurev.psych.59.103006.093639

Citazione non strutturata

Bayer H.M. and Glimcher P.W. (2005). Midbrain dopamine neurons encode a quantitative reward prediction error signal. Neuron, 47: 129-141.

https://doi.org/10.1016/j.neuron.2005.05.020

10.3389/neuro.11.008.2009

Citazione non strutturata

Beer R.D. (1997). The dynamics of adaptive behavior: A research program. Robotics and Autonomous Systems, 20: 257-289.

https://doi.org/10.1016/S0921-8890(96)00063-2

Citazione non strutturata

Brooks R.A. (1991). Intelligence without representation. Artificial Intelligence, 47: 139-159.

https://doi.org/10.1016/0004-3702(91)90053-M

10.1109/2.33

10.1016/j.neuron.2010.09.015

Citazione non strutturata

Cisek P. (2007). Cortical mechanisms of action selection: the affordance competition hypothesis. Philosophical Transactions of Royal Society B, 362: 1585-1599.

https://doi.org/10.1098/rstb.2007.2054

Citazione non strutturata

Cisek P. and Kalaska J.F. (2005). Neural correlates of reaching decisions in dorsal premotor cortex: specification of multiple direction choices and final selection of action. Neuron, 45: 801-814.

https://doi.org/10.1016/j.neuron.2005.01.027

10.1146/annurev.neuro.051508.135409

Citazione non strutturata

Clark A. (1998). Being there. putting brain, body, and world together. Cambridge (MA): MIT Press.

Citazione non strutturata

Clark A. (1999). An embodied cognitive science? Trends in Cognitive Science, 3: 345-351.

https://doi.org/10.1016/S1364-6613(99)01361-3

10.1017/S0140525X12000477

Citazione non strutturata

Clark A. and Grush R. (1999). Towards a cognitive robotics. Adaptive Behavior, 7: 5-16.

https://doi.org/10.1177/105971239900700101

Citazione non strutturata

Cordeschi R. (2002). The discovery of the artificial: behavior, mind and machines before and beyond cybernetics. Dordrecht: Kluwer.

https://doi.org/10.1007/978-94-015-9870-5

Citazione non strutturata

Cordeschi R. (2004). Cybernetics. In: Floridi L., ed. The Blackwell guide to philosophy of computing and information. Oxford: Blackwell: 186-196.

https://doi.org/10.1002/9780470757017.ch14

Citazione non strutturata

Cordeschi R. (2006) Simulation models of organism behavior: some lessons from precybernetic and cybernetic approaches. In: Termini S., ed. Imagination and rigor: essays on Eduardo R. Caianiello’s scientific heritage. Berlin-Milan: Springer: 39-46.

https://doi.org/10.1007/88-470-0472-1_4

Citazione non strutturata

Cordeschi R. (2008). Steps toward the synthetic method: symbolic information processing and self-organization systems in early artificial intelligence. In: Husbands P., Holland O. and Wheeler M., eds. The mechanical mind in history. Cambridge (MA): MIT Press: 219-258.

https://doi.org/10.7551/mitpress/9780262083775.003.0010

Citazione non strutturata

Datteri E. and Tamburrini G. (2007). Biorobotic experiments for the discovery of biological mechanisms. Philosophy of Science, 74, 3: 409-430.

https://doi.org/10.1086/522095

Citazione non strutturata

Daw N.D., Gershman S.J., Seymour B., Dayan P. and Dolan R.J., (2011). Model-based influences on humans’ choices and striatal prediction errors. Neuron, 69: 1204-1215.

https://doi.org/10.1016/j.neuron.2011.02.027

Citazione non strutturata

Demiris Y. and Khadhouri B. (2005). Hierarchical attentive multiple models for execution and recognition. Robotics and Autonomous Systems, 54: 361-369.

https://doi.org/10.1016/j.robot.2006.02.003

Citazione non strutturata

Dindo H., Zambuto D. and Pezzulo G. (2011). Motor simulation via coupled internal models using sequential Monte Carlo. Proceedings of IJCAI: 2113-2119.

Citazione non strutturata

Doya K., Ishii S., Pouget A. and Rao R.P.N., eds. (2007). Bayesian brain: probabilistic approaches to neural coding. Cambrigde (MA): MIT Press.

10.1016/j.tics.2013.03.006

Citazione non strutturata

Fiorillo C.D., Newsome W.T. and Schultz W. (2008). The temporal precision of reward prediction in dopamine neurons. Nature Neuroscience, 11: 966-973.

https://doi.org/10.1038/nn.2159

Citazione non strutturata

Frackowiak R. (2014). Eyes on the prize. New Scientist, 223: 28-29.

https://doi.org/10.1016/S0262-4079(14)61395-6

10.1038/513027a

10.1038/nrn2787

10.1098/rstb.2013.0481

Citazione non strutturata

Glenberg A. (1997). What memory is for. Behavioral and Brain Sciences, 20: 1-55.

https://doi.org/10.1017/S0140525X97000010

10.1126/science.1102566

10.1146/annurev.neuro.29.051605.113038

10.1016/j.tics.2013.09.001

Citazione non strutturata

Griffiths T.L., Chater N., Kemp C., Perfors A. and Tenenbaum J.B. (2010). Probabilistic models of cognition: exploring representations and inductive biases. Trends in Cognitive Science, 14: 357-364.

https://doi.org/10.1016/j.tics.2010.05.004

Citazione non strutturata

Grossberg S. (1978). A theory of human memory: self-organization and performance of sensory-motor codes, maps, and plans. In: Rosen R. and Snell F., eds. Progress in theoretical biology. New York: Academic Press: 233-374.

https://doi.org/10.1016/B978-0-12-543105-7.50013-0

Citazione non strutturata

Gurney K.N., Prescott T.J. and Redgrave P. (2001). A computational model of action selection in the basal ganglia in a new functional anatomy. Biological Cybernetics, 84: 401-410.

https://doi.org/10.1007/PL00007984

Citazione non strutturata

Harnad S. (1990). The symbol grounding problem. Physica D: Nonlinear Phenomena, 42: 335-346.

https://doi.org/10.1016/0167-2789(90)90087-6

Citazione non strutturata

Hoffmann H. (2007). Perception through visuomotor anticipation in a mobile robot. Neural Networks, 20: 22-33.

https://doi.org/10.1016/j.neunet.2006.07.003

10.1126/science.1239276

Citazione non strutturata

Jeannerod M. (2006). Motor cognition. New York: Oxford University Press.

https://doi.org/10.1093/acprof:oso/9780198569657.001.0001

Citazione non strutturata

Ljungberg T., Apicella, P. and Schultz W. (1992). Responses of monkey dopamine neurons during learning of behavioral reactions. Journal of Neurophysiology, 67, 1: 145-163.

Citazione non strutturata

Lungarella M., Metta G., Pfeifer R. and Sandini G. (2003). Developmental robotics: a survey. Connection Science, 15: 151-190.

https://doi.org/10.1080/09540090310001655110

Citazione non strutturata

Marcos E., Pani P., Brunamonti E., Deco G., Ferraina S. and Verschure P. (2013). Neural variability in premotor cortex is modulated by trial history and predicts behavioral performance. Neuron, 78: 249-255.

https://doi.org/10.1016/j.neuron.2013.02.006

Citazione non strutturata

Markram H. (2012). The Human Brain Project. Scientific Amenican, 306: 50-55.

https://doi.org/10.1038/scientificamerican0612-50

Citazione non strutturata

Marr D. (1982). Vision: a computational investigation into the human representation and processing of visual information. New York: Henry Holt and Co.

Citazione non strutturata

McCarthy J., Minsky M., Rochester N. and Shannon C. (1955). A proposal for the Darmouth summer research project on artificial intelligence. Available at: http://www.formal. stanford.edu/jmc/his- tory/dartmouth/dartmouth.html.

Citazione non strutturata

McClelland J.L., McNaughton B.L. and O’Reilly R.C. (1995). Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychological Review, 102: 419-457.

https://doi.org/10.1037/0033-295X.102.3.419

Citazione non strutturata

McClelland J.L., Botvinick M.M., Noelle D.C., Plaut D.C., Rogers T.T., Seidenberg M.S. and Smith L.B. (2010). Letting structure emerge: connectionist and dynamical systems approaches to cognition. Trends in Cognitive Science, 14: 348-356.

https://doi.org/10.1016/j.tics.2010.06.002

Citazione non strutturata

Metta G., Sandini G., Natale L. and Panerai F. (2001). Development and robotics. Proceedings of IEEE-RAS: 33-42.

Citazione non strutturata

Mirolli M., Santucci V.G. and Baldassarre G. (2013). Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: a simulated robotic study. Neural Networks, 39: 40-51.

https://doi.org/10.1016/j.neunet.2012.12.012

10.1016/j.tics.2011.11.018

Citazione non strutturata

Newell A., Shaw J.C. and Simon H.A. (1958). Elements of a theory of human problem solving. Psychological Review, 65, 3: 151-166.

https://doi.org/10.1037/h0048495

Citazione non strutturata

Newell A. and Simon H.A. (1972). Human problem solving. Englewood Cliffs (NJ): Prentice-Hall.

Citazione non strutturata

Nolfi S. (2009). Behavior and cognition as a complex adaptive system: Insights from robotic experiments. In: Hooker C., ed. Handbook of the philosophy of science. Vol 10: Philosophy of complex systems. Amsterdam: Elsevier.

Citazione non strutturata

O’Regan J.K. and Noe A. (2001). A sensorimotor account of vision and visual consciousness. Behavioral and Brain Sciences, 24: 883-917.

https://doi.org/10.1017/S0140525X01000115

Citazione non strutturata

O’Reilly R.C. and Munakata Y. (2000). Computational explorations in cognitive neuroscience: understanding the mind by simulating the brain. Cambridge (MA): MIT Press.

10.1109/TAMD.2009.2039057

Citazione non strutturata

Oudeyer P.Y., Kaplan F. and Hafner V. (2007). Intrinsic motivation systems for autonomous mental development. IEEE Transactions on Evolutionary Computation, 11, 2: 265-286.

https://doi.org/10.1109/TEVC.2006.890271

Citazione non strutturata

Pezzulo G. (2011). Grounding procedural and declarative knowledge in sensorimotor anticipation. Mind and Language, 26: 78-114.

https://doi.org/10.1111/j.1468-0017.2010.01411.x

Citazione non strutturata

Pezzulo G., Barsalou L.W, Cangelosi A., Fischer M.H., McRae K. and Spivey M. (2011). The mechanics of embodiment: a dialogue on embodiment and computational modeling. Frontiers in Psychology, 2: 1-21.

https://doi.org/10.3389/fpsyg.2011.00005

10.3389/fpsyg.2012.00612

Citazione non strutturata

Pezzulo G. and Castelfranchi C. (2009). Thinking as the control of imagination: a conceptual framework for goal-directed systems. Psychological Research, 73: 559-577.

https://doi.org/10.1007/s00426-009-0237-z

Citazione non strutturata

Pfeifer R. and Bongard J.C. (2006). How the body shapes the way we think. Cambridge (MA): MIT Press.

Citazione non strutturata

Pfeifer R., Lungarella M. and Iida F. (2007). Self-organization, embodiment, and biologically inspired robotics. Science, 318: 1088-1093.

https://doi.org/10.1126/science.1145803

10.1093/nsr/nwt019

10.1038/4580

Citazione non strutturata

Ratcliff R. (1978). A theory of memory retrieval. Psychological Review, 85: 59-108.

https://doi.org/10.1037/0033-295X.85.2.59

Citazione non strutturata

Redgrave P., Prescott T.J. and Gurney K. (1999). The basal ganglia: a vertebrate solution to the selection problem? Neuroscience, 89: 1009-1023.

https://doi.org/10.1016/S0306-4522(98)00319-4

10.1016/j.neuron.2010.11.024

Citazione non strutturata

Rolf M., Steil J.J. and Gienger M. (2010). Goal babbling permits direct learning of inverse kinematics. IEEE Transactions on Autonomous Mental Development, 2, 3: 216-229.

https://doi.org/10.1109/TAMD.2010.2062511

Citazione non strutturata

Romo R. and Schultz W. (1990). Dopamine neurons of the monkey midbrain: contingencies of responses to active touch during self-initiated arm movements. Journal of Neurophysiology, 63, 3: 592-606.

10.1016/j.neuron.2014.06.00

10.1037/0003-066X.60.4.308

Citazione non strutturata

Rosenbloom P.S., Laird J.E. and Newell A. (1992). The Soar papers: research on integrated intelligence. Cambridge (MA): MIT Press.

10.1016/j.artint.2005.04.007

Citazione non strutturata

Rumelhart D.E., McClelland J.L. and the P.R Group. (1986). Parallel distributed processing: explorations in the microstructure of cognition. Cambridge (MA): MIT Press.

Citazione non strutturata

Ryan R.M. and Deci E.L. (2000). Intrinsic and extrinsic motivations: classic definitions and new directions. Contemporary Educational Psychology, 25, 1: 54-67.

https://doi.org/10.1006/ceps.1999.1020

10.1016/j.neuron.2012.10.021

10.1016/j.cogpsych.2009.07.001

Citazione non strutturata

Sandamirskaya Y., Zibner S.K., Schneegans S. and Schöner G. (2013). Using dynamic field theory to extend the embodiment stance toward higher cognition. New Ideas Psychology, 31: 322-339.

https://doi.org/10.1016/j.newideapsych.2013.01.002

Citazione non strutturata

Santucci V.G., Baldassarre G. and Mirolli M. (2014). Autonomous selection of the “what” and the “how” of learning: an intrinsically motivated system tested with a two armed robot. Proceedings of ICDL-Epirob, IEEE International Conferences: 434-439.

Citazione non strutturata

Schoener G. (2008). Dynamical systems approaches to cognition. In: Spencer P., Thomas M.S. and McClelland J.L., eds. Toward a unified theory of development: connectionism and dynamic systems theory re-considered. Oxford: Oxford University Press.

https://doi.org/10.1017/CBO9780511816772.007

Citazione non strutturata

Schultz W. (1998). Predictive reward signal of dopamine neurons. Journal of Neurophysiology, 80, 1: 1-27.

Citazione non strutturata

Schultz W., Apicella P. and Ljungberg T. (1993). Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task. Journal of Neuroscience, 13, 3: 900-913.

Citazione non strutturata

Schultz W., Dayan P. and Montague P.R. (1997). A neural substrate of prediction and reward. Science, 275: 1593-1599.

https://doi.org/10.1126/science.275.5306.1593

10.1093/cercor/bhu159

Citazione non strutturata

Shadlen M.N., Kiani R., Hanks T.D. and Churchland A.K. (2008). Neurobiology of decision making: sn intentional framework. In: Engel C. and Singer W., eds., Better than conscious? Decision making, the human mind, and implications for institutions. Cambridge (MA): MIT Press: 72-101.

10.3758/BF03209391

Citazione non strutturata

Simon H.A. (1996). The sciences of the artificial. Cambridge (MA): MIT Press.

Citazione non strutturata

Spivey M. (2007). The continuity of mind. New York: Oxford University Press.

Citazione non strutturata

Steels L. (2003). Intelligence with representation. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 361: 2381-2395.

https://doi.org/10.1098/rsta.2003.1257

10.1126/science.346.6206.178

Citazione non strutturata

Sutton, R.S. and Barto A.G. (1998). Reinforcement learning: an introduction. Cambridge (MA): MIT Press.

Citazione non strutturata

Tenenbaum J.B., Griffiths T.L. and Kemp C. (2006). Theory-based bayesian models of inductive learning and reasoning. Trends in Cognitive Science, 10: 309-318.

https://doi.org/10.1016/j.tics.2006.05.009

10.1126/science.1192788

Citazione non strutturata

Thelen E. and Smith L.B. (1996). A dynamic systems approach to the development of cognition and action. Cambridge (MA): MIT Press.

Citazione non strutturata

Thelen E., Schöner G., Scheier C. and Smith L. (2001). The dynamics of embodiment: a field theory of infant perseverative reaching. Behavioral and Brain Sciences, 24: 1-33.

https://doi.org/10.1017/S0140525X01003910

Citazione non strutturata

Thompson E. and Varela F.J. (2001). Radical embodiment: neural dynamics and consciousness. Trends in Cognitive Science, 5: 418-425.

https://doi.org/10.1016/S1364-6613(00)01750-2

Citazione non strutturata

Usher M. and McClelland J.L. (2001). On the time course of perceptual choice: the leaky, competing accumulator model. Psychological Review, 108, 3: 550-592.

https://doi.org/10.1037/0033-295X.108.3.550

10.1016/j.bica.2012.04.005

10.1098/rstb.2013.048

Citazione non strutturata

Von Hofsten C. (2004). An action perspective on motor development. Trends in Cognitive Sciences, 8, 6: 266-272.

https://doi.org/10.1016/j.tics.2004.04.002

Citazione non strutturata

Webb B. (2000). What does robotics offer animal behaviour? Animal Behavior, 60: 545-558.

https://doi.org/10.1006/anbe.2000.1514

10.1017/S0140525X01000127

Citazione non strutturata

Weng J. (2004). Developmental robotics: theory and experiments. International Journal of Humanoid Robotics, 1, 2: 199-236.

https://doi.org/10.1142/S0219843604000149

Citazione non strutturata

White R. (1959). Motivation reconsidered: the concept of competence. Psychological Review, 66: 297-333.

https://doi.org/10.1037/h0040934

Citazione non strutturata

Wiener N. (1950). The human use of human beings. Boston: Houghton Mifflin.

Citazione non strutturata

Wolpert D.M. and Ghahramani Z. (2000). Computational principles of movement neuroscience. Nature Neuroscience, 3: 1212-1217.

https://doi.org/10.1038/81497