Gianluca Baldassarre's Publications

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Theses (Undergraduate, Master, and PhD)

  • T1   (In Italian) Baldassarre G. (1997). Reti neurali ed algoritmi genetici per i modelli simulativi di teoria della razionalità limitata - Applicazioni ai mercati oligopolistici. Tesi di Laurea. Roma: Facolta' di Economia e Commercio, Universita' di Roma "La Sapienza". Tesi in pdf. Sorgente programma simulazioni in pdf.
  • T2   (In Italian) Baldassarre G. (1997). Apprendimento per rinforzo e coordinazione sensomotoria. Tesi del Corso di Perfezionamento in Psicologia Cognitiva e Reti Neurali, edizione 1996-1997. Roma: Facolta' di Psicologia, Universita' di Roma "La Sapienza". Tesi in pdf. E’ uguale ad I2.
  • T3   Baldassarre G. (2002). Planning with Neural Networks and Reinforcement Learning. PhD Thesis. Colchester - UK: Computer Science Department, University of Essex. Thesis in pdf.

Books

  • None.

Edited Books

  • BE1    Nolfi S., Baldassarre G., Calabretta R., Hallam J., Marocco D., Meyer J-A., Miglino O., Parisi D. (eds.) (2006). From Animals to Animats 9: Proceedings of the Ninth International Conference on the Simulation of Adaptive Behavior (SAB-2006). Berlin: Springer Verlag.
  • BE2    Butz M. V., Sigaud O., Pezzulo G., Baldassarre G. (eds.) (2006). Proceedings of the Third Workshp on Anticipatory Bahavior in Adaptive Learning Systems (In electronic format). Rome: Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR).
  • BE3    Butz M., Sigaud O., Pezzulo G., Baldassarre G. (eds.) (2007). Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior. LNAI 4520, Subseries State-of-the-art survey. Berlin: Springer Verlag.
  • BE3    Pezzulo G., Sigaud O., Baldassarre G., Butz M. (eds.) (in preparation). Anticipatory Behavior in Adaptive Learning Systems. LNAI xxxx. Berlin: Springer Verlag.

Books’ Chapters

  • BC01   Baldassarre G. (2003). Forward and bidirectional planning based on reinforcement learning and neural networks in a simulated robot. In Butz M., Sigaud O., Gérard P. (eds.), Adaptive Behaviour in Anticipatory Learning Systems, pp. 179-200. Berlin: Springer Verlag. Preprint in pdf.
  • BC02   Nolfi S., Baldassarre G., Marocco D. (2003). The importance of viewing cognition as the result of emergent processes occurring at different time scales. In Murase K., Asakura T. (eds.), Dynamic Systems Approach for Embodiment and Sociality, International Series on Advanced Intelligence, Vol. 6, pp. 43-56. Magill, Australia: Advanced Knowledge International Press. Preprint in pdf. Demo with explanations, pictures and films. Same as C10.
  • BC03    Baldassarre G. (2008). Self-Organization as Phase Transition in Decentralized Groups of Robots: A Study Based on Boltzmann Entropy. In Prokopenko Mikhail (ed.), Advances in Applied Self-Organizing Systems, pp. 127-146. Berlin: Springer-Verlag. Preprint in pdf.
  • BC04    Pezzulo G., Baldassarre G., Butz M. V., Cristiano C., Hoffmann J. (2007). From actions to goals and vice-versa: theoretical analysis and models of the ideomotor principle and TOTE. In Butz M.V., Sigaud O., Pezzulo G., Baldassarre G. (eds.), Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, pp. 73-93. Berlin: Springer-Verlag. Preprint in pdf. See previous version C17.
  • BC05    Butz M., Sigaud O., Pezzulo G., Baldassarre G. (2007). Aticipations, brains, individual and social behavior: an introduction to anticipatory systems. In Butz M.V., Sigaud O., Pezzulo G., Baldassarre G. (eds.), Anticipations, brains, individual and social behavior: an introduction to anticipatory systems, pp. 1-18. Berlin: Springer-Verlag. Preprint in pdf.
  • BC06    Zappacosta S., Nolfi S., Baldassarre G. (2007). A testbed for neural-network models capable of integrating information in time. In Butz M.V., Sigaud O., Pezzulo G., Baldassarre G. (eds.), Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, pp. 189-217. Berlin: Springer-Verlag. Preprint in pdf.
  • BC07    Ognibene D., Balkenius C., Baldassarre G. (2008). A reinforcement-learning model of top-down attention based on a potential-action map. In Pezzulo G., Butz V. M., Castelfranchi C., Falcone R. (eds.), The Challenge of Anticipation – A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, pp. 161-184. LNAI 5225. Berlin: Springer-Verlag. Preprint in pdf.
  • CC08    Venditti A., Mirolli M., Parisi D., Baldassarre G. (in press). In Serra Roberto (ed.), xxxx. A neural-network model of the dynamics of hunger, learning, and action vigor in mice, pp. xxxx-xxxx. World Scientific. Preprint in pdf.
  • BC09    Mannella F., Mirolli M., Baldassarre G. (in press). In Tosh Colin (ed.), xxxx. The interplay of pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat, pp. xxxx-xxxx. Cambridge, Cambridge University press. Preprint in pdf.
  • BC10    Caligiore D., Borghi A., Parisi D., Baldassarre G. (in press). Affordances and compatibility effects: a neural-network computational model. In xxxx, xxxx (eds.), xxxx., pp. xxxx-xxxx. Oxford, Oxford University press. Preprint in pdf.

International Scientific Journals

  • J01   Baldassarre G. (1997). Neural networks and genetic algorithms for the simulation models of bounded rationality theory - An application to oligopolistic markets. Rivista di Politica Economica. V. 12, pp. 107-146. Preprint in pdf.
  • J02   Baldassarre G. (2001). Cultural evolution of 'guiding criteria' and behaviour in a population of neural-network agents. Journal of Memetics - Evolutionary Models of Information Transmission. Vol. 4, On-line Journal. Preprint in pdf. Published article freely available at http://jom-emit.cfpm.org/2001/vol4/baldassarre_g.html
  • J03   Baldassarre G. (2002). A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours. Journal of Cognitive Systems Research. Vol. 3, pp. 5-13. Preprint in pdf. This preprint is the same as C5. Published article available with payment at http://www.sciencedirect.com/science/article/B6W6C-44D4KP4-1/1/35c9176c4afb2fb3a3ba329b618af22a
  • J04   Baldassarre G., Nolfi S., Parisi D. (2003). Evolving mobile robots able to display collective behaviour. Artificial Life. Vol. 9, pp. 255-267. Preprint in pdf. Demo with explanations, pictures and films. This preprint is an improved version of C9.
  • J05   Dorigo M., Trianni V., Sahin E., Gross R., Labella T.H., Baldassarre G., Nolfi S., Deneubourg J.-L., Mondada F., Floreano D., Gambardella L.M. (2004). Evolving self-organizing behaviors for a swarmbot. Autonomous Robots, vol. 17, pp. 223-245. Preprint in pdf.
  • J06   Baldassarre G., Parisi D., Nolfi S. (2006). Distributed coordination of simulated robots based on self-organization. Artificial Life. Vol. 12 (No. 3), pp. 289-311. Preprint in pdf. An expansion of C12 with the addition of important results.
  • J07   Mannella F., Baldassarre G. (2007). A neural-network reinforcement-learning model of domestic chicks that learn to localise the centre of closed arenas. Philosophical Transactions of the Royal Society B – Biological Sciences. Vol. 362 (No. 1479), pp. 383-401. Preprint in pdf.
  • J08   Baldassarre G., Trianni V., Bonani M., Mondada F., Dorigo M., Nolfi S. (2007). Self-organised coordinated motion in groups of physically connected robots. IEEE Transactions in Systems, Man and Cybernetics – Part B Cybernetics. Vol. 37 (No. 1), pp. 224-239. Preprint in pdf.
  • J10   Baldassarre, G., Nolfi, S. (2009). Strengths and synergies of evolved and designed controllers: a study within collective robotics. Journal of Artificial Intelligence. Vol. 173, pp. 857-875, DOI: 10.1016/j.artint.2009.01.001. Preprint in pdf.
  • J10   Caligiore D., Guglielmelli E., Borghi A., Parisi D., Baldassarre G. (submitted). A bioinspired neural reinforcement-learning model of reaching integrating kinematic and dynamic control in a camera-arm robot. IEEE Robotics and Automation Magazine. xxxx, vol. xxxx, pp. xxxx-xxxx. Preprint in pdf.
  • J11   Caligiore D., Borghi A., Parisi D., Baldassarre G. (in preparation). A computational embodied neural-network model of experiments on affordances, categorisation and compatibility effects. xxxx, vol. xxxx, pp. xxxx-xxxx. Preprint in pdf.

International Refereed Conferences’ and Workshops’ Proceedings

  • C01   Baldassarre G. (1996). Simulations of oligopolistic markets with artificial agents: Decision procedures as emergent properties of adaptive learning. In Pessa E., Penna P., Montesanto A. (eds.), Proceedings of the Third European Congress on Systems Science, pp. 175-179. Roma: Edizioni Kappa. Preprint in pdf.
  • C02   Baldassarre G., Parisi D. (1999). Individual learning, noise and selection in cultural evolution – A study through artificial life simulations. In Dautenhahn K., Nehaniv C. (eds.), Proceedings of the Symposium on Imitation in Animals and Artifacts (Hold within AISB1999), pp. 32-37. Brighton: The Society for the Study of Artificial Intelligence and Simulation of Behaviour. Preprint in pdf.
  • C03   Baldassarre G. (2000). Needs and motivations as mechanisms of learning and control of behaviour: Interference problems with multiple tasks. In Trappl R. (ed.), Cybernetics and Systems 2000 - Proceedings of the Fifteenth European Meeting on Cybernetics and Systems Research, pp. 677-682. Vienna: Austrian Society for Cybernetic Studies. Preprint in pdf.
  • C04   Baldassarre G., Parisi D. (2000). Classical and instrumental conditioning: From laboratory phenomena to integrated mechanisms for adaptation. In Meyer J-A., Berthoz A., Floreano D., Roitblat H., Wilson S.W. (eds.), From Animals to Animats 6: Proceedings of the Sixth International Conference on the Simulation of Adaptive Behaviour (SAB2000), Supplement Volume, pp. 131-139. Honolulu: International Society for Adaptive Behaviour. Preprint in pdf.
  • C05   Baldassarre G. (2001). A Modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours. In Altmann E.M., Cleermans A., Schunn C.D., Gray W.D. (eds.), Proceedings of the Fourth International Conference on Cognitive Modeling (ICCM2001), pp. 37-42. Mahwah – NJ: Lawrence Erlbaum. Preprint in pdf. This preprint is an old version of J3.
  • C06   Baldassarre G. (2001). Coarse Planning for Landmark Navigation in a Neural-Network Reinforcement Learning Robot. Proceedings of the International Conference on Intelligent Robots and Systems (IROS2001). IEEE. Preprint in pdf.
  • C07   Baldassarre G. (2001). A Planning Modular Neural-Network Robot for Asynchronous Multi-Goal Navigation Tasks. In Arras K.O., Baerveldt A.-J, Balkenius C., Burgard W., Siegwart R. (eds.), Proceedings of the 2001 Fourth European Workshop on Advanced Mobile Robots (EUROBOT2001), pp. 223-230. Lund – Sweden: Lund University Cognitive Studies. Preprint in pdf.
  • C08   Baldassarre G. (2002). A biologically plausible model of human planning based on neural networks and Dyna-PI models. In Butz M., Sigaud O., Gérard P. (eds.), Proceedings of the Workshop on Adaptive Behaviour in Anticipatory Learning Systems (ABiALS-2002, hold within SAB2002), pp. 40-60. Wurzburg: University of Wurzburg. Preprint in pdf.
  • C09   Baldassarre G., Nolfi S., Parisi D. (2002). Evolving mobile robots able to display collective behaviour. In Hemelrijk C. K. (ed.), International Workshop on Self-Organisation and Evolution of Social Behaviour, pp. 11-22. Zurich: Swiss Federal Institute of Technology. Preprint in pdf. Demo with explanations, pictures and films. This preprint is an old version of J4.
  • C10   Nolfi S., Baldassarre G., Marrocco D. (2002). The importance of viewing cognition as the result of emergent processes occurring at different time scales. In Asakura T., Murase K. (eds.), Proceedings of the Third International Symposium on Human and Artificial Intelligent Systems, pp. 63-76. Fukui, Japan: Fukui University Press. Preprint in pdf. Demo with explanations, pictures and films. Same as B2.
  • C11   Baldassarre G., Nolfi S., Parisi D. (2003). Evolution of collective behaviour in a team of physically linked robots. In Raidl G., Guillot A., Meyer J.-A. (eds.), Applications of Evolutionary Computing -  Proceedings of the Second European Workshop on Evolutionary Robotics (EvoROB2003, hold within EvoWorkshops-2003), pp. 581-592. Berlin: Springer Verlag. Preprint in pdf. Demo with explanations, pictures and films.
  • C12   Baldassarre G., Parisi D., Nolfi S. (2004). Coordination and behavior integration in cooperating simulated robots. In Schaal S., Ijspeert A., Billard A., Vijayakumar S., Hallam J., Meyer J.-A. (eds.), From Animals to Animats 8: Proceedings of the Eighth International Conference on the Simulation of Adaptive Behavior (SAB2004), pp. 385-394. Cambridge, MA: The MIT Press. Preprint in pdf.
  • C13   Dorigo M., Tuci E., Gross R., Trianni V., Labella T. H., Nouyan S., Ampatzis C., Deneubourg J.-L., Baldassarre G., Nolfi S., Mondada F., Floreano D., Gambardella L. M. (2004). The SWARM-BOTS project. In Sahin E., Spears W. M. (eds.), Swarm Robotics. Lecture Notes in Computer Science, vol. 3342, pag. 31-44. Berlin, Springer Verlag. Berlin, Germany: Springer Verlag. Preprint in pdf.
  • C14   Baldassarre G., Parisi D., Nolfi S. (2004). Measuring coordination as entropy decrease in groups of linked simulated robots. In Minai A., Bar-Yam Y. (eds.), Proceedings of the Fifth International Conference on Complex Systems (ICCS2004). May 16-21 2004, Boston, MA. Cambridge, MA: The New England Complex Systems Institute. Published online at http://www.necsi.org/events/iccs/2004proceedings.html. Preprint in pdf.
  • C15   Ognibene D., Mannella F., Pezzulo G., Baldassarre G. (2006). Integrating reinforcement-learning, accumulator models, and motor-primitives to study action selection and reaching in monkeys. In Fum D., Del Missier F., Stocco A. (eds.), Proceedings of the Seventh International Conference on Cognitive Modeling (ICCM2006), pp. 214-219. Trieste, Edizioni Goliardiche. Preprint in pdf.
  • C16   Ognibene D., Rega A., Baldassarre G. (2006). A model of reaching integrating continuous reinforcement learning, accumulator models, and direct inverse modelling. In Nolfi S., Baldassarre G., Calabretta R., Hallam J., Marocco D., Meyer J-A., Miglino O., Parisi D.(eds.), From Animals to Animats 9: Proceedings of the Ninth International Conference on the Simulation of Adaptive Behavior (SAB2006), pp. 381-393. Berlin: Springer Verlag. Preprint in pdf.
  • C17    Pezzulo G., Baldassarre G., Butz M. V., Castelfranchi C., Hoffmann J. (2006). An analysis of the ideomotor principle and TOTE. Butz M. V., Sigaud O., Pezzulo G., Baldassarre G. (eds.), Proceedings of the Third Workshp on Anticipatory Bahavior in Adaptive Learning Systems (ABiALS2006) (In electronic format). Rome: Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR). Preprint in pdf. See improved version BC4.
  • C18    Cecconi F., Caligiore D., Baldassarre G., Parisi D. (2007). Interacting Networks as Models of Cultural Change. In Gabriel P., Phan D., Waldeck R., Monière C. (eds.), Proceedings of Computational Methods for Modelling and learning in Social and Human Sciences (MASHS2007) (Brest, France, 10-11 May 2007). Bretagne: ENST. Preprint in pdf.
  • C19    Schembri M., Mirolli M., Baldassarre G. (2007). Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot. Demiris Y., Scassellati B., Mareschal D. (eds.). The 6th IEEE International Conference on Development and Learning (ICDL2007). IEEE Catalog Number: 07EX1740C, ISBN: 1-4244-1116-5, Library of Congress: 2007922394,  pp. 282-287. London: Imperial College. Preprint in pdf.
  • C20    Caligiore D., Parisi D., Baldassarre G. (2007). Towards an integrated biomimetic model of reaching. Demiris Y., Scassellati B., Mareschal D. (eds.). The 6th IEEE International Conference on Development and Learning (ICDL2007). IEEE Catalog Number: 07EX1740C, ISBN: 1-4244-1116-5, Library of Congress: 2007922394,  pp. 241-246. London: Imperial College. Preprint in pdf.
  • C21    Herbort O., Ognibene O., Butz M.V., Baldassarre G. (2007). Learning to select targets within targets in reaching tasks. Demiris Yiannis, Scassellati Brian, Mareschal Denis (eds.) The 6th IEEE International Conference on Development and Learning (ICDL2007). IEEE Catalog Number: 07EX1740C, ISBN: 1-4244-1116-5, Library of Congress: 2007922394, pp. 7-12. London: Imperial College. Preprint in pdf.
  • C22    Schembri M., Mirolli M., Baldassarre G. (2007). Evolving childhood’s length and learning parameters in an intrinsically motivated reinforcement learning robot. In Berthouze Luc, Dhristiopher G. Prince, Littman Michael, Kozima Hideki, Balkenius Christian (eds.), Proceedings of the Seventh International Conference on Epigenetic Robotics (EpiRob2007), pp. 141-148. Lund, Sweden: Lund University Cognitive Studies. Preprint in pdf.
  • C23    Mannella F., Mirolli M., Baldassarre G. (2007). The role of amygdala in devaluation: a model tested with a simulated robot. In Berthouze Luc, Dhristiopher G. Prince, Littman Michael, Kozima Hideki, Balkenius Christian (eds.), Proceedings of the Seventh International Conference on Epigenetic Robotics (EpiRob2007), pp. 77-84. Lund, Sweden: Lund University Cognitive Studies. Preprint in pdf.
  • C24    Schembri M., Mirolli M., Baldassarre G. (2007). Evolution and learning in an intrinsically motivated reinforcement learning robot. In Almeida e Costa Fernando, Rocha Luis Mateus, Costa Ernesto, Harvey Inman, Coutinho Antonio (eds.), Proceedings of the 9th European Conference on Artificial Life (ECAL2007), pp. 294-333. LNAI 4648. Berlin: Springer Verlag. Preprint in pdf.
  • C25    Ognibene, D., Balkenius, C., Baldassarre, G. (2008). Integrating epistemic action (active vision) and pragmatic action (reaching): a neural architecture for camera-arm robots. In Asada M., Hallam J.C.T., Meyer, J.-A., Tani J. (eds.), From Animals to Animats 10: Proceedings of the Tenth International Conference on the Simulation of Adaptive Behavior (SAB2008), pp. 220-229. LNAI 5040. Berlin: Springer Verlag. Preprint in pdf.
  • C26    Mannella F., Zappacosta S., Mirolli M., Baldassarre G. (2008). A computational model of the amygdala nuclei’s role in second order conditioning. In Asada M., Hallam J.C.T., Meyer, J.-A., Tani J. (eds.), From Animals to Animats 10: Proceedings of the Tenth International Conference on the Simulation of Adaptive Behavior (SAB2008), pp. 321-330. LNAI 5040. Berlin: Springer Verlag. Preprint in pdf.
  • C27    Mannella F., Mirolli M., Baldassarre G. (2008). Computational principles underlying the functioning of amygdala in the affective regulation of behaviour. In Low R., Morse A., Ziemke T., (orgs.), The role of emotion in adaptive behaviour and cognitive robotics, SAB2008 workshop, pp. E1-10.  Skovde: University of Skovde. (Osaka, Japan, 11-12 July 2008). Preprint in pdf.
  • C28    Caligiore D., Ferrauto T., Parisi D., Accornero N., Capozza M., Baldassarre G. (2008). Using motor babbling and Hebb rules for modeling the development of reaching with obstacles and grasping. In Dillmann Rüdiger, Maloney Colette, Sandini Giulio, Asfour Tamim, Cheng Gordon, Metta Giorgio, Ude Ales (orgs.), International Conference on Cognitive Systems (CogSys2008), pp. E1-8. (University of Karlsruhe, Karlsruhe, Germany, 2-4 April 2008). Preprint in pdf.
  • C29    Fiore V., Mannella F., Mirolli M., Gurney K., Baldassarre G. (2008). Instrumental conditioning driven by neutral stimuli: A model tested with a simulated robotic rat. In Schlesinger M., Berthouze L., Balkenius C. (eds.), Proceedings of the Eight International Conference on Epigenetic Robotics – Modeling Cognitive Development in Robotic Systems, Lund University Cognitive Studies 139, pp. 13-20. Lund: University of Lund. Preprint in pdf.

Abstracts, Extended Abstracts

  • A01    Baldassarre G. (2007). Empirical research on brain and behaviour, and agent-based modelling, will have a deep impact on investigations on well-being (and on economics). In Bartolini S., Belli F., Bellanca N., Bilancini E., Bosco L., Bruni L., Pugno M. (orgs.), International Conference on Policies for Happiness. Certosa di Pontignano, Siena, Italy, 14-17 June 2007. Preprint in pdf.
  • A02    Caligiore D., Parisi D., Baldassarre G. (2008). Compatibility effects and affordances: a neural-network computational model. In Caramazza Alfonso, Goodale Melvyn, Mahon Bradford, Martin Alex (orgs.), Concepts, Actions, and Objects: Functional and Neural Perspectives. Università degli Studi di Trento, Rovereto, Italy, 24-27 April, 2008. Preprint in pdf. Poster in pdf.
  • A03    Caligiore D., Parisi D., Baldassarre G. (2008). In Mayor Julien, Ruh Nicholas, Plunkett Kim (orgs.), The 11th Neural Computation and Psychology Workshop. University of Oxford, Oxford, UK, 16-18 July 2008. Preprint in pdf.

Public Press

  • P01   Nolfi Stefano et al. (2003). Swarm-bots: swarm of mobile robots able to self-assemble and self-organize. ERCIM News, n. 53, April 2003, p. 25-26. Preprint in pdf.
  • P02   Dorigo Marco (2004). The Swarmbots are coming. Wired, n. 12.02, February 2004. Preprint in pdf.

Technical reports

  • TR01   Zappacosta S., Baldassarre G., Nolfi S. (2006). Elman neural networks and time integration for object recognition. Technical Report LARAL-ISTC-CNR-2006/001. Rome: Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche. Preprint in pdf.
  • TR02   Schembri M., Baldassarre G. (2006). Evolving reinforcement signals to learn macro actions useful for different navigation tasks. Technical Report LARAL-ISTC-CNR-2006/002. Rome: Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche. Preprint in pdf.
  • TR03   Ferrauto T., Caligiore D., Ognibene D., Baldassarre G. (2007). A User Interface for Physical Engine Robot Simulators. Technical Report LARAL-ISTC-CNR-2007/001. Rome: Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche. Preprint in pdf.

. . . IN ITALIAN . . .

Tesi (Laurea, Corso di Perfezionamento)

  • T01   (In Italian) Baldassarre G. (1997). Reti neurali ed algoritmi genetici per i modelli simulativi di teoria della razionalità limitata - Applicazioni ai mercati oligopolistici. Tesi di Laurea. Roma: Facolta' di Economia e Commercio, Universita' di Roma "La Sapienza". Tesi in pdf. Sorgente programma simulazioni in pdf.
  • T02   (In Italian) Baldassarre G. (1997). Apprendimento per rinforzo e coordinazione sensomotoria. Tesi del Corso di Perfezionamento in Psicologia Cognitiva e Reti Neurali, edizione 1996-1997. Roma: Facolta' di Psicologia, Universita' di Roma "La Sapienza". Tesi in pdf. E’ uguale ad I2.

Libri in Italiano

  • None.

Libri Editi in Italiano

  • IBE01    Baldassarre G., Marocco D., Mirolli M. (2005) (eds.). Atti del Secondo Workshop Italiano di Vita Artificiale (In formato elettronico). Roma: Istituto di Scienze e Tecnologie della Cognizione - CNR. Freely available at http://laral.istc.cnr.it/giva-aisc/ws2va/.
  • IBE02   Baldassarre G., Marocco D., Mirolli M. (eds.) (2006). Sistemi Intelligenti Anno XVIII n. 1 – Numero Monografico “La Via Italiana alla Vita Artificiale”.

Capitoli di Libri in Italiano

  • IBC01   Baldassarre G. (2006). Cosa significa che gli animali computano. In Cherubini P., Giaretta P., Marraffa M., Peternoster A. (Cur.), Cognizione e computazione - Problemi, metodi e prospettive delle spiegazioni computazionali nelle scienze cognitive, pp. 23-30. Padova: Cleup SC.. Preprint in pdf.

Riviste Scientifiche in Italiano

  • IJ01   Baldassarre G. (1997). Reti neurali ed algoritmi genetici per la simulazione dei modelli di teoria della razionalità limitata – Un’applicazione ai mercati oligopolistici. Rivista di Politica Economica. V. 12, pp. 115-157. Preprint in pdf.
  • IJ02   Baldassarre G. (1998). Apprendimento per rinforzo e coordinazione sensomotoria. Comunicazioni Scientifiche di Psicologia Generale. Preprint in pdf. E’ uguale a T2.
  • IJ03   Baldassarre G., Marocco D., Mirolli M. (2006). Editoriale: La Via Italiana alla Vita Artificiale. Sistemi Intelligenti Anno XVIII n. 1 – Numero Monografico “La Via Italiana alla Vita Artificiale”, pp. 3-6. Preprint in pdf.
  • IJ04   Mannella F., Baldassarre G. (2006). Punti di forza e di debolezza dei modelli di apprendimento per rinforzo: un'applicazione all'orientamento spaziale nei pulcini. Sistemi Intelligenti Anno XVIII n. 1 – Numero Monografico “La Via Italiana alla Vita Artificiale”, pp. 75-84. Preprint in pdf.

Conferenze e Workshops in Italiano

  • IC01   Baldassarre G. (2001). Limiti di efficacia temporale del condizionamento operante: un modello connessionistico. In Pinna B. (ed.), Congresso nazionale della sezione di psicologia sperimentale, pp. 59-61. Sassari: EDES Editrice Democratica Sarda. Preprint in pdf.
  • IC02   Baldassarre G. (2002). Orientamento spaziale nei gerbilli: una predizione sperimentale con un modello connessionistico. In Garotti P. L. (ed.), Congresso nazionale della sezione di psicologia sperimentale, pp. 67-70. Bologna: Edizioni Nautilus. Preprint in pdf.
  • IC03   Baldassarre G., Nolfi S., Parisi D. (2003). Metodi evolutivi per il controllo di gruppi di robot simulati: emergenza di ruoli dinamici di leader e follower. In Bellelli G. (ed.), Congresso nazionale della sezione di psicologia sperimentale, pp. 92-94. Bari: Grafica 080. Preprint in pdf.
  • IC04   Baldassarre G., Nolfi S., Parisi D. (2003). Conformismo ed indipendenza sociale per il controllo di robot simulati in compiti collettivi. In Bellelli G. (ed.), Congresso nazionale della sezione di psicologia sperimentale, pp. 95-97. Bari: Grafica 080. Preprint in pdf.
  • IC05   Baldassarre G., Parisi D., Nolfi S. (2004). Coordinamento distribuito mediante auto-organizzazione. In Atti del Secondo Convegno Nazionale dell’Associazione Italiana di Scienze Cognitive (AISC2) (In formato elettronico). Ivrea: Interaction Design Institute. Preprint in pdf. Published paper freely available at http://www.interaction-ivrea.it/en/news/education/2003-04/aisc/d1/baldassarre-parisi-nolfi/index.asp
  • IC06    Ferrauto T., Baldassarre G., Di Stefano G., Parisi D. (2005). Emergenza della specializzazione in gruppi di robot simulati. In Baldassarre G., Marocco D., Mirolli M. (2005). Atti del Secondo Workshop Italiano di Vita Artificiale (In formato elettronico). Roma: CNR. Preprint in pdf.
  • IC07    Mannella F., Baldassarre G. (2005). Alla ricerca del centro: un modello della navigazione nei pulcini. In Baldassarre G., Marocco D., Mirolli M. (eds.). Atti del Secondo Workshop Italiano di Vita Artificiale (In formato elettronico). Roma: CNR. Preprint in pdf.
  • IC08    Baldassarre G. (2005). Analisi quantitative dell’auto-organizzazione in gruppi di robot simulati. In Baldassarre G., Marocco D., Mirolli M. (eds.). Atti del Secondo Workshop Italiano di Vita Artificiale (In formato elettronico). Roma: CNR. Preprint in pdf.
  • IC09    (In English) Ferrauto T., Baldassarre G., Di Stefano G., Parisi D. (2006). Comparison of genetic algorithms used to evolve specialisation in groups of robots. In Acerbi A., Giansante S., Marocco D. (edss), Atti del Terzo Workshop Italiano di Vita Artificiale (WIVA3) (In formato elettronico). Siena: Centro Sistemi Complessi. Preprint in pdf.
  • IC10    (In English) Mannella F., Baldassarre G. (2006). Possible roles of orbitofrontal-amygdala loop in modulation of basal ganglia activation. In Acerbi A., Giansante S., Marocco D. (eds.). Atti del Terzo Workshop Italiano di Vita Artificiale (WIVA3) (In formato elettronico). Siena: Centro Sistemi Complessi. Preprint in pdf.
  • IC11    Ognibene D., Baldassarre G. (2006). Apprendimento per rinforzo e codifica tramite popolazione neurale: un modello per il reaching applicato a due task. In Acerbi A., Giansante S., Marocco D. (eds.), Atti del Terzo Workshop Italiano di Vita Artificiale (WIVA3) (In formato elettronico). Siena: Centro Sistemi Complessi. Preprint in pdf.
  • IC12    (In English) Schembri M., Baldassarre G. (2006). A Pilot Study on the Evolution of Reward Signals for Hierarchical Reinforcement Learning. In Acerbi A., Giansante S., Marocco D. (eds.),  Atti del Terzo Workshop Italiano di Vita Artificiale (WIVA3) (In formato elettronico). Siena: Centro Sistemi Complessi. Preprint in pdf.
  • IC13    (In English) Zappacosta S., Baldassarre G., Nolfi S. (2006). Elman neural networks and time integration for object recognition. In Acerbi A., Giansante S., Marocco D. (eds.),  Atti del Terzo Workshop Italiano di Vita Artificiale (WIVA3) (In formato elettronico). Siena: Centro Sistemi Complessi. Preprint in pdf.
  • IC14    Rega A., Ognibene D., Gigliotta O., Baldassarre G. (2006). Un sistema robotico occhio-braccio per lo studio dei processi neurali sottostanti a compiti di reaching costruito presso il LARAL. In Acerbi A., Giansante S., Marocco D. (eds.), Atti del Terzo Workshop Italiano di Vita Artificiale (WIVA3) (In formato elettronico). Siena: Centro Sistemi Complessi. Preprint in pdf.
  • IC15    Sperati V., Baldassarre G. (2006). Usare l’entropia come indice per evolvere una coppia di robot simulati in grado di esibire comportamenti auto-organizzati. In Greco G., Penco C., Sandini G., Zaccaria R. (cur.) (2006), Scienze Cognitive e Robica - Atti del Terzo Convegno Nazionale dell’Associazione Italiana di Scienze Cognitive (AISC3), pp. 147-152. Genova: Erga Edizioni. Preprint in pdf.
  • IC16    Baldassare Gianluca (2007). Un modello fisicalista (pre-Turing) dei sistemi computazionali naturali ed artificiali. In Nicosia Giuseppe, Pavone Mario, Atti del Quarto Workshop Italiano di Vita Artificiale e Computazione Evolutiva (WIVACE 2007) (In formato elettronico). Catania: Università di Catania. (Baia Samuele, Sampietri, Italia, 5-7 Settembre 2007). Preprint in pdf.
  • IC17    (In English) Ferrato Tomassino, Ognibene Dimitri, Caligiore Daniele, Baldassare Gianluca (2007). Trajectory learning through motor babbling: reaching with obstacle avoidance. In Nicosia Giuseppe, Pavone Mario, Atti del Quarto Workshop Italiano di Vita Artificiale e Computazione Evolutiva (WIVACE 2007) (In formato elettronico). Catania: Università di Catania. (Baia Samuele, Sampietri, Italia, 5-7 Settembre 2007). Preprint in pdf.
  • IC18    (In English) Venditti A., Mirolli M., Parisi D., Baldassarre G. (2008). In Serra R., Poli I., Cagnoni S., Zanneschi L., Villani M. (eds.), Workshop Italiano di Vita Artificiale e Computazione Evolutiva (WIVACE 2008). A computational model of hunger, perceived reward and vigor in experiments of operant conditioning with mice, pp. E1-14. Venezia, 8-10 Settembre 2008. Preprint in pdf.

Technical reports in Italiano

  • ITR01   Baldassarre G. (1997). Classifier systems e reti neurali. Technical report. Roma: Istituto di Psicologia del CNR. Preprint in pdf.
  • ITR02   Baldassarre G. (1997). Verso uno studio integrato della mente e del cervello. Technical report. Roma: Istituto di Psicologia del CNR. Preprint in pdf.
  • ITR03   Baldassarre G., Parisi D. (1998). Visual attention: early and late selection. Technical report. Roma: Istituto di Psicologia del CNR. Preprint in pdf.

Stampa in Italiano

  • IP01   Palmerini Chiara (2003). Robot, ora si evolvono. Panorama. Aprile 2003, n. 15, p. 182-186, 295. Preprint in pdf.
  • IP02   Quark (2003). Mini-robot: l'unione fa la forza. Quark, n. 29, Giugno 2003, p. 90-96. Preprint in pdf.
  • IP03   Parlangeli Andrea (2003). I robo-sciami. Focus. Luglio 2003, n. 129, pp. 70-76. Preprint in pdf.
  • IP04   Dell’Aglio Luigi (2004). Sciami di robot a difesa della citta’. Il Sole 24 Ore. 23 Gennaio 2004, pp. 11. Preprint in pdf.
  • IP05   Sciancalepore Sergio (2004). In arrivo uno sciame di robot. Cooperazione. 11 Marzo 2004, p. 30-35. Preprint in pdf.
  • IP06   Tarissi Francesca (2004). Robotica collettiva. La Repubblica – Affari e Finanza. 14 Giugno 2004, pp. 19. Preprint in pdf.