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Vieri Giuliano Santucci

Email:
vieri.santucci@istc.cnr.it
Telephone: 
+39 0649936279
Address: 

Istituto di Scienze e Tecnologie della Cognizione, Via S. Martino della Battaglia 44, 00185 Roma

Profile

Position: 
Researcher (Fixed Term)
Short profile: 

 

Vieri Giuliano Santucci is a research assistant at the Institute of Cognitive Sciences and Technologies (CNR, Rome) and is concluding a Ph.D in computer science at the University of Plymouth. He holds a B.Sc. degree in Philosophy (Pisa, 2006) and an M.S. degree in theories and techniques of knowledge, faculty of Philosophy (Roma, 2009). His interests range from learning processes to motivations as well as to the concept of representations, in both biological and artificial agents. During the Ph.D, his work focussed on the development of robotic architectures that allow artificial agents to autonomously improve their competences on the basis of the biologically-inspired concept of intrinsic motivations. He published in peer-reviewed journals and attended many international conferences, and actively contributed to the European Integrated Project 'IM-CLeVeR - Intrinsically-Motivated Cumulative-Learning Versatile Robots'. 

Publications


Journal articles

   2016
Santucci V. G., Baldassarre G., Mirolli M. GRAIL: a Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning. In: IEEE Transactions on Cognitive and Developmental Systems, vol. 8 (3) pp. 214 - 231. IEEE, 2016.  image   image

   2015
Santucci V. G., Cilia N. D., Pezzulo G. The status of the simulative method in cognitive science: current debates and future prospects. In: Paradigmi - Rivista di Critica Fiolosofica, vol. 3 pp. 47 - 67. G. Tamburrin, N.D. Cilia (eds.). Franco Angeli, 2015.  image   image   image

   2013
Mirolli M., Santucci V. G., Baldassarre G. Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcement driving both action acquisition and reward maximization: A simulated robotic study. In: Neural Networks, vol. 39 pp. 40 - 51. Elsevier Ltd, 2013.  image   image
Santucci V. G., Baldassarre G., Mirolli M. Which is the best intrinsic motivation signal for learning multiple skills?. In: Frontiers in Neurorobotics, vol. 7 pp. e1 - 14. Frontiers, 2013.  image   image

Contribution to Book/Monograph

   2014
Santucci V. G., Baldassarre G., Mirolli M. Cumulative learning through intrinsic reinforcements. In: Evolution, Complexity and Artificial Life. pp. 107 - 122. S. Cagnoni, M.Mirolli, M. Villani (eds.). Berlin: Springer, 2014.  image   image   image

Proceedings

   2014
Santucci V. G., Baldassarre G., Mirolli M. Autonomous selection of the "what" and the "how" of learning: an intrinsically motivated system tested with a two armed robot. In: ICDL-EpiRob2014 - 2014 Joint IEEE International Conferences on Development and Learning and Epigenetic Robotics (ICDL-Epirob) (Genoa, Italy, 13-16 October 2014). Proceedings, pp. 434 - 439. IEEE, 2014.  image   image

   2013
Santucci V. G., Baldassarre G., Mirolli M. Intrinsic motivation signals for driving the acquisition of multiple tasks: A simulated robotic study. In: ICCM 2013 - 12th International Conference on Cognitive Modelling (Ottawa, 11-14 July 2013). Proceedings, pp. 59 - 64. R.L. West, T.C. Stewart (eds.). Carleton University, 2013.  image

   2012
Santucci V. G., Baldassarre G., Mirolli M. A bio-inspired learning signal for the cumulative learning of different skills. In: WIVACE 2012 - Workshop Italiano di Vita Artificiale e Computazione Evolutiva, 2012. Proceedings. CD-ROM (Parma, 20-21 Febbraio 2012). Atti, pp. E1 - 12. S.Cagnoni, M. Mirolli, M.Villani (eds.). Dip. Scienze Sociali. Universita' di Parma, 2012.  image
Santucci V. G., Baldassarre G., Mirolli M. Intrinsic motivation mechanisms for competence acquisition. In: ICDL-EpiRob 2012 - 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (San Diego, Cal, 7-9 November 2012). Proceedings, pp. 1 - 6. IEEE, 2012.  image   image

   2010
Santucci V. G., Baldassarre G., Mirolli M. Biological cumulative learning through intrinsic motivations: a simulated robotic study on development of visually-guided reaching. In: EpiRob2010 - Tenth International Conference on Epigenetic Robotics, 2010. (Örenäs Slott, Sweden, 5-7 November 2010). Proceedings, pp. 121 - 128. B. Johansson, E. Sahin, C Balkenius (eds.). (Lund University Cognitive Studies, vol. 149). Lund University Cognitive Studies, 2010.  image

Technical reports

   2013
Baldassarre G., Santucci V. G., Mirolli M., Visalberghi E., Guglielmelli E., Keller F., Redgrave P., Gurney K., McGuinnity M., Triesch J., Lee M., Schmidhuber J., Barto A. The Project IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots: A Tool-box for Research on Intrinsic Motivations and Cumulative Learning. The goal of this paper is to furnish a tool-box for research on intrinsic motivations and cumulative learning based on the main ideas produced within the Integrated Project "IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots". Technical report, 2013.  image

   2011
Gatsoulis Y., McGinnity M., Kerr E., Condell J., Siddique N., Burbridge C., Riano L., Ratnasingam S., Mirolli M., Santucci V. G., Baldassarre G., Barto A., Singh S., Lewis R., Stout A., Sorg J., Dimitrakakis C., Rothkopf C., Triesch J., Shah A., Gurney K., Lee M., Law J., Huelse M., Shaw P., Ring M., Cuccu G., Luciw M., Gomez F., Graziano V., Ngo H., Migliore D., Schaul T., Pape L., Yi S., Schmidhuber J. Novelty detection and learning drives. Deliverable D5.1 of the EU-funded Integrated Project "IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots", Contract n. FP7-ICT-IP-231722. Technical report, 2011.  image

Abstracts

   2015
Baldassarre G., Mannella F., Santucci V. G., Sperati V., Caligiore D., Cartoni E., Da Silva B. C., Mirolli M. Open-ended learning of skills in robots: insights from looking at the brain. In: RLDM2015 - The Second Multidisciplinary Conference on Reinforcement Learning and Decision Making (Edmonton, Alberta, Canada, 7-10 June 2015). Abstract, pp. e1 - 5. University of Alberta, 2015.  image   image