Il contributo metodologico della Developmental Robotics alla psicologia

Titolo Rivista RICERCHE DI PSICOLOGIA
Autori/Curatori Daniela Conti, Santo Di Nuovo, Angelo Cangelosi
Anno di pubblicazione 2018 Fascicolo 2018/2
Lingua Italiano Numero pagine 19 P. 221-239 Dimensione file 237 KB
DOI 10.3280/RIP2018-002002
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FrancoAngeli è membro della Publishers International Linking Association, Inc (PILA)associazione indipendente e non profit per facilitare (attraverso i servizi tecnologici implementati da CrossRef.org) l’accesso degli studiosi ai contenuti digitali nelle pubblicazioni professionali e scientifiche

I recenti sviluppi dell’Intelligenza Artificiale e i paralleli progressi della "Robotica dello sviluppo" possono offrire un valido supporto metodologico alla ricerca in psicologia ed alle sue applicazioni. Questo approccio interdisciplinare, basato sulla stretta collaborazione tra la robotica cognitiva e la psicologia prende ispirazione diretta dai principi e dalle modalita di sviluppo dei bambini, e propone, mediante studi di simulazione in laboratorio, nuove ipotesi che possono a loro volta essere sottoposte a verifica empirica con bambini reali. L’utilita di questo approccio sara illustrata presentando uno studio sull’uso di baby-robots per la ricerca sui primi apprendimenti di parole, nonche una panoramica di diversi modelli di robotica in campo percettivo, sociale e linguistico. Gli autori presentano alcune limitazioni, e i possibili correttivi, dell’uso dei modelli robotici negli interventi psicologici.;

Keywords:Intelligenza artificiale, robotica dello sviluppo, apprendimento cognitivo, applicazioni psicologiche.

  1. Adams, S., Arel, I., Bach, J., Coop, R., Furlan, R., Goertzel, B., Storrs Hall, J., Samsonovich, A., Scheutz, M., Schlesinger, M., Shapiro, S. C., & Sowa, J.F. (2012). Mapping the landscape of human-level artificial general intelligence. AI Magazine, 33(1), 25-42.
  2. Amso, D., & Johnson, S.P. (2006). Learning by selection: visual search and object perception in young infants. Developmental Psychology, 42(6), 1236. DOI: 10.1037/0012-1649.42.6.1236
  3. Araki, T., Nakamura, T., & Nagai, T. (2013). Long-term learning of concept and word by robots: Interactive learning framework and preliminary results. In Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference (pp. 2280-2287). DOI: 10.1109/IROS.2013.6696675
  4. Asada, M., MacDorman, K. F., Ishiguro, H., & Kuniyoshi, Y. (2001). Cognitive developmental robotics as a new paradigm for the design of humanoid robots. Robotics and Autonomous Systems, 37(2), 185-193. DOI: 10.1016/S0921-8890(01)00157-9
  5. Barsalou, L.W. (2008). Grounded cognition. Annual Review of Psychology, 59, 617-645.
  6. Belpaeme, T., Baxter, P. E., Read, R., Wood, R., Cuayahuitl, H., Kiefer, B., Racioppa, S., Kruijff-Korbayova´, I., Athanasopoulos, G., Enescu, V., Looije, R., Neerincx, M., Demiris, Y., Ros-Espinoza, R., Beck, A., Canamero, L., Hiolle, A., Lewis, M., Baroni, I., Nalin, M., Cosi, P., Paci, G., Tesser, F., Sommavilla, G., & Humbert, R. (2012). Multimodal child-robot interaction: Building social bonds. Journal of Human-Robot Interaction, 1(2), 33-53. DOI: 10.5898/JHRI.1.2
  7. Belpaeme. Brooks, R.A. (1990). Elephants don’t play chess. Robotics and Autonomous Systems, 6(1-2), 3-15. DOI: 10.1016/S0921-8890(05)80025-9
  8. Butterworth, G. (1991). The ontogeny and phylogeny of joint visual attention. In A. Whiten (Ed.), Natural theories of mind: Evolution, development and simulation of everyday mindreading. Cambridge, MA: Blackwell.
  9. Cangelosi, A., & Schlesinger, M. (2015). Developmental robotics: From babies to robots. MIT Press.
  10. Cangelosi, A., & Schlesinger, M. (2018). From Babies to Robots: The Developmental Robotics Contribution to Developmental Psychology. Child Development Perspectives, in press.
  11. Cangelosi, A., & Di Nuovo, S. (2016). La mente simulata (e-book). Firenze: Giunti.
  12. Conti, D., Di Nuovo, S., Cangelosi, A., & Di Nuovo, A. (2016). Lateral specialization in unilateral spatial neglect: a cognitive robotics model. Cognitive Processing, 17(3), 321-328.
  13. Conti, D., Di Nuovo, S., Buono, S., Trubia, G., & Di Nuovo, A. (2015). Use of Robotics to Stimulate Imitation in Children with Autism Spectrum Disorder: A Pilot Study in a Clinical Setting. In Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, ROMAN (pp. 1-6). DOI: 10.1109/ROMAN.2015.7333589
  14. Nagai, Y., Hosoda, K., Morita, A., & Asada, M. (2003). A constructive model for the development of joint attention. Connection Science, 15(4), 211-229. DOI: 10.1080/09540090310001655101
  15. Norman, D. (2017). Which should be in control: technology or people? Encyclopaedia Britannica, 250th Anniversary (comunicazione personale dell’autore).
  16. Oudeyer, P. (2017). What do we learn about development from baby robots? Wiley Interdisciplinary Reviews: Cognitive Science, 8(1-2).
  17. Olson (ed.), The social foundations of language and thought (pp. 156-186), New York: Norton.
  18. Pessa, E. (2004). Statistica con le reti neurali: un’introduzione. Roma: Di Renzo.
  19. Pezzulo, G., Barsalou, L.W., Cangelosi, A., Fischer, M.H., McRae, K., & Spivey, M. (2013). Computational grounded cognition: a new alliance between grounded cognition and computational modeling. Frontiers in Psychology, 3, 612.
  20. Rabbitt, S.M., Kazdin, A.E., & Scassellati, B. (2015). Integrating socially assistive robotics into mental healthcare interventions: Applications and recommendations for expanded use. Clinical Psychology Review, 35, 35-46.
  21. Rumelhart, D.E., & McClelland, J.L. (1986). On learning the past tenses of English verbs. In J.L. McClelland & D.E. Rumelhart (Eds.), Parallel distributed processing. Explorations in the microstructure of cognition (Vol. 2, pp. 216-271). Cambridge, MA: MIT Press.
  22. Samuelson, L.K., Smith, L. B., Perry, L.K., & Spencer, J.P. (2011). Grounding word learning in space. PloS One, 6(12), e28095.
  23. Sarabia, M., & Demiris, Y. (2013). A humanoid robot companion for wheelchair users. In International Conference on Social Robotics (pp. 432-441). Cham: Springer. DOI: 10.1007/978-3-319-02675-6_43
  24. Scassellati, B., Admoni, H., & Matarić, M. (2012). Robots for use in autism research. Annual Review of Biomedical Engineering, 14, 275-294.
  25. Schlesinger, M., Amso, D., & Johnson, S.P. (2007). Simulating infants’ gaze patterns during the development of perceptual completion. In Proceedings of the 7th International Conference on Epigenetic Robotics, 2007 (pp. 157-164).
  26. Shaw, P., Lewkowicz, D., Giagkos, A., Law, J., Kumar, S., De Masson d’Autume, C., Lee, M., & Shen, Q., (2015). Babybot challenge: Motor skills. In Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 Joint IEEE International Conference (pp. 47-54). DOI: 10.1109/DEVLRN.2015.7346114
  27. Spitz, R. A. (1957). No and yes: On the genesis of human communication. New York: International Universities Press.
  28. Turing, A.M. (1950). Computing machinery and intelligence. Mind, 59(236), 433-460.
  29. Twomey, K. E., Morse, A., Cangelosi, A., & Horst, J.S. (2016). Children’s referent selection and word learning: insights from a developmental robotic system. Interaction Studies, 17(1), 93-119.
  30. Vygotsky, L.S. (1980). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
  31. Warneken, F., Chen, F., & Tomasello, M. (2006). Cooperative activities in young children and chimpanzees. Child Development, 77(3), 640-663.
  32. Weng, J., McClelland, J., Pentland, A., Sporns, O., Stockman, I., Sur, M., & Thelen, E. (2001). Artificial Intelligence. Autonomous mental development by robots and animals. Science, 291(5504), 599-600.
  33. Zlatev, J., & Balkenius, C. (2001). Introduction: Why “Epigenetic Robotics?” In C. Balkenius (ed.) Proceedings of the 1st International Workshop Epigenetic Robotics: Modeling cognitive development in robotic systems, 85, 1-4; Sweden: Lund.
  34. Nagai, Y., Asada, M., & Hosoda, K. (2006). Learning for joint attention helped by functional development. Advanced Robotics, 20(10), 1165-1181. DOI: 10.1163/156855306778522497
  35. Morse, A., De Greeff, J., Belpeame, T., & Cangelosi, A. (2010). Epigenetic robotics architecture (ERA). IEEE Transactions on Autonomous Mental Development, 2(4), 325-339. DOI: 10.1109/TAMD.2010.2087020
  36. Morse, A., & Cangelosi, A. (2017). Why are there developmental stages in language learning? A developmental robotics model of language development. Cognitive Science, 41(S1), 32–51.
  37. Morse, A., Benitez, V. L., Belpaeme, T., Cangelosi, A., & Smith, L. B. (2015). Posture affects how robots and infants map words to objects. PloS One, 10(3), e0116012.
  38. Morse, A., Belpaeme, T., Cangelosi, A., & Floccia, C. (2011). Modeling U shaped performance curves in ongoing development. In Proceedings of the Cognitive Science Society (Vol. 33).
  39. Metta, G., Natale, L., Nori, F., Sandini, G., Vernon, D., Fadiga, L., von Hofsted, C., Rosander, K., Lopes, M., Santos-Victor, J., Bernardino, A., & Montesano, L. (2010). The iCub humanoid robot: An open-systems platform for research in cognitive development. Neural Networks, 23, 1125-1134.
  40. Merrick, K. (2017). Value systems for developmental cognitive robotics: A survey. Cognitive Systems Research, 41, 38-55.
  41. Lungarella, M., Metta, G., Pfeifer, R., & Sandini, G. (2003). Developmental robotics: a survey. Connection Science, 15(4), 151-190. DOI: 10.1080/09540090310001655110
  42. Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43(1), 59-69. DOI: 10.1007/BF00337288
  43. Klahr, D., & Wallace, J.G. (1970). An information processing analysis of some Piagetian experimental tasks. Cognitive Psychology, 1(4), 358-387. DOI: 10.1016/0010-0285(70)90021-6
  44. Karim, M.E., Lemaignan, S., & Mondada, F. (2015). A review: Can robots reshape K-12 STEM education? In Advanced Robotics and its Social Impacts (ARSO), 2015 IEEE International Workshop (pp. 1-8). DOI: 10.1109/ARSO.2015.7428217
  45. Golosio, B., Cangelosi, A., Gamotina, O., & Masala, G.L. (2015). A cognitive neural architecture able to learn and communicate through natural language. PloS One, 10(11), e0140866.
  46. Forster, F., Nehaniv, C. L., & Saunders, J. (2009). Robots that say “no.” In European Conference on Artificial Life (pp. 158-166). Berlin, Heidelberg: Springer. DOI: 10.1007/978-3-642-21314-4_20
  47. Dominey, P.F., & Warneken, F. (2011). The basis of shared intentions in human and robot cognition. New Ideas in Psychology, 29(3), 260-274.
  48. Di Nuovo, S., & Cangelosi, A. (Eds) (2015) Vita naturale, vita artificiale. Milano: FrancoAngeli.
  49. Demiris, Y., & Meltzoff, A. (2008). The robot in the crib: A developmental analysis of imitation skills in infants and robots. Infant and Child Development, 17(1), 43-53.
  50. Demiris, Y., & Khadhouri, B. (2006). Hierarchical attentive multiple models for execution and recognition of actions. Robotics and Autonomous Systems, 54(5), 361-369.
  51. De la Cruz, V., Di Nuovo, A., & Di Nuovo, S. (2015). Fingers and words to count: A cognitive robot learns sums. Sistemi Intelligenti, 27(1), 7-26. DOI: 10.1109/CCMB.2014.7020688
  52. Conti D., Di Nuovo, A., Trubia G., Buono S., & Di Nuovo, S. (2018). Adapting Robot-Assisted Therapy of Children with Autism and Different Levels of Intellectual Disability: A Preliminary Study. Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 91-92. DOI: 10.1145/3173386.3176962

Daniela Conti, Santo Di Nuovo, Angelo Cangelosi, Il contributo metodologico della Developmental Robotics alla psicologia in "RICERCHE DI PSICOLOGIA " 2/2018, pp 221-239, DOI: 10.3280/RIP2018-002002