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Gianluca Baldassarre

Email:

gianluca.baldassarre@istc.cnr.it

Telephone:

+39 06 44595231

Fax:

+39 06 44595243

Address:

Laboratory of Computational Embodied Neuroscience,
Istituto di Scienze e Tecnologie della Cognizione,
Consiglio Nazionale delle Ricerche (LOCEN-ISTC-CNR),
Via San Martino della Battaglia 44, I-00185 Roma, Italy

Curriculum Vitae:

100622baldassarre-curriculumvitaeinenglish.pdf

Groups:

Laboratory of Computational Embodied Neuroscience

Profile
Research
Publications
Projects
Resources

Profile

Position:

Researcher

Keywords:

Bio-constrained learning processes;
Computational embodied neuroscience;
Developmental robotics;
Extrinsic motivations and emotions;
Habitual and goal-directed behaviour;
Hierarchical organisation of action;
Intrisic motivations;
Neural networks;

Short profile:

Positions:

1996: Degree in Economics
1996-1997: Autonomous study in cognitive psychology and neuroscience
1997: Master in Cognitive Psychlogy and Neural Network Models
1998-2001: PhD in Computer Science, University of Essex, UK
2001-2005: Postdoc, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Rome, Italy
2006-now: Researcher at ISTC-CNR
2006-now: Founder and principal investigator of the Research Group ''Laboratory of computational Embodied Neuroscience'', LOCEN-ISTC-CNR, now formed by 9 researchers
2006-2009: Principal investigator for ISTC-CNR of EU Integrated Project ''ICEA – Integrating Cognition, Emotion and Autonomy''
2009-2013: Coordinator of EU Integrated Project IM-CLeVeR – Intrinsically Motivated Cumulative Learning Versatile Robots
1998-now: about 100 hundred peer review publications in artificial life, cognitive science, autonomous robotics, and recently in psychology, neuroscience, developmental robotics

General research goal:
Investigating how brain generates behaviour by interacting with the body and with the environment, based on computational system-level models

Specific research topics:

1. Intrinsic motivations (e.g., based on superior colliculus and hippocampus)
2. Extrinsic motivations (e.g., based on amygdala, hypothalamus, and nucleus accumbens)
3. The hierarchical organisation of motor behavior (e.g., based on basal ganglia, prefrontal and motor motor cortex).
4. Biologically plausible learning processes (trial and error learning, Hebbian learning e.g. STDP)

Research method used
The research method used in the lab directed by Gianluca, called Computational Embodied Neuroscience (CEN), has been influenced by both the Simulation of Adaptive Behaviour approach (SAB) and by Computational Neuroscience. CEN draws from the SAB approach the importance given to natural evolution to understand behaviour in terms of its adaptive function, the view of behaviour as a phenomenon emergent from the brain-body-environment interaction, and the aim to understand the functioning of organisms as a whole. Moreover, CEN draws from Computational Neuroscience the goal to finely reproduce and explain the experimental data on behaviour and brain anatomy and physiology, and the rigor of models. In general, CEN can be said to be a ''top down'' approach that wants to arrive to understand brain starting from behaviour and its adaptive function for organisms.
For more details, see the description of LOCEN research method.

Selected publications:

Mannella Francesco, Baldassarre Gianluca (2007). A neural-network reinforcement-learning model of domestic chicks that learn to localize the centre of closed arenas. Philosophical Transactions of the Royal Society B – Biological Sciences. Vol. 362 (No. 1479), pp. 383-401.
Baldassarre Gianluca, Nolfi Stefano (2009). Strengths and synergies of evolved and designed controllers: a study within collective robotics. Journal of Artificial Intelligence. Vol. 173, pp. 857-875.
Caligiore Daniele, Borghi Anna, Parisi Domenico, Baldassarre Gianluca (2010). TRoPICALS: A Computational Embodied Neuroscience Model of Compatibility Effects. Psycological Review, vol. 117, Issue 4, pp. 1188-1228.
Mirolli Marco, Mannella Francesco, Baldassarre Gianluca(2010). The roles of the amygdala in the affective regulation of body, brain and behaviour. Connection Science. 22 (3), 215-245.
Mannella Francesco, Mirolli Marco, Baldassarre Gianluca (2010). The interplay of pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat. In Tosh Colin and Ruxton Graeme (eds), "Modelling Perception With Artificial Neural Networks", pp. 93-113. Cambridge, Cambridge University Press.

1996: Degree in Economics

1996-1997: Autonomous formation in cognitive psychology and neuroscience

1997: Master in Cognitive Psychlogy and Neural Network Models

1998-2001: PhD in Computer Science, University of Essex, UK

2001-2005: Postdoc, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Rome, Italy

2006-now: Researcher at ISTC-CNR

2006-now: Founder and principal investigator of the Research Group ''Laboratory of computational Embodied Neuroscience'', LOCEN-ISTC-CNR, now formed by 9 researchers

2006-2009: Principal investigator for ISTC-CNR of EU Integrated Project ''ICEA – Integrating Cognition, Emotion and Autonomy'' (7 partners, 5 ml euros; 650k euros for LOCEN-ISTC-CNR)

2009-2013: Coordinator of EU Integrated Project IM-CLeVeR – Intrinsically Motivated Cumulative Learning Versatile Robots (7 partners, 6 ml euros; 1.5 ml euros for LOCEN-ISTC-CNR)

1998-now: about 100 hundred peer review publications in Neuroscience, Cognitive Science, Robotics.

Interests

General research goal.

Investigating how brain generates behaviour by interacting with the body and with the environment, based on computational system-level models (theoretical neuroscience).

Specific research topics.

1. Intrinsic motivations (based on superior colliculus and hippocampus)

2. Extrinsic motivations (basd on amygdala, hypothalamus, and nucleus accumbens)

3. The hierarchical organisation of motor behavior (based on basal ganglia, prefrontal-, premotor-, motor-cortex).

4. Biologically plausible learning processes (learning by trial and error, Hebbian learning e.g. STDP)

Research method used.

The research method used in the lab directed by Gianluca, called Computational Embodied Neuroscience (CEN), has been influenced by both the Simulation of Adaptive Behaviour approach (SAB) and by Computational Neuroscience. CEN draws from the SAB approach the importance given to natural evolution to understand behaviour in terms of its adaptive function, the view of behaviour as a phenomenon emergent from the brain-body-environment interaction, and the aim to understand the functioning of organisms as a whole. Moreover, CEN draws from Computational Neuroscience the goal to finely reproduce and explain the experimental data on behaviour and brain anatomy and physiology, and the rigor of models. In general, CEN can be said to be a ''top down'' approach that wants to arrive to understand brain starting from behaviour and its adaptive function for organisms.

5 Top publications

1.Mannella Francesco, Baldassarre Gianluca (2007). A neural-network reinforcement-learning model of domestic chicks that learn to localize the centre of closed arenas. Philosophical Transactions of the Royal Society B – Biological Sciences. Vol. 362 (No. 1479), pp. 383-401.

2. Baldassarre Gianluca, Nolfi Stefano (2009). Strengths and synergies of evolved and designed controllers: a study within collective robotics. Journal of Artificial Intelligence. Vol. 173, pp. 857-875.

3. Caligiore Daniele, Borghi Anna, Parisi Domenico, Baldassarre Gianluca (2010). TRoPICALS: A Computational Embodied Neuroscience Model of Compatibility Effects. Psycological Review, vol. 117, Issue 4, pp. 1188-1228.

4. Mirolli Marco, Mannella Francesco, Baldassarre Gianluca(2010). The roles of the amygdala in the affective regulation of body, brain and behaviour. Connection Science. 22 (3), 215-245.

5. Mannella Francesco, Mirolli Marco, Baldassarre Gianluca (2010). The interplay of pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat. In Tosh Colin and Ruxton Graeme (eds), "Modelling Perception With Artificial Neural Networks", pp. 93-113. Cambridge, Cambridge University Press.

Research

General research goal:
Investigating how brain generates behaviour by interacting with the body and with the environment, based on computational system-level models (theoretical neuroscience).

Specific research topics:

1. Intrinsic motivations (based on superior colliculus and hippocampus)
2. Extrinsic motivations (basd on amygdala, hypothalamus, and nucleus accumbens)
3. The hierarchical organisation of motor behavior (based on basal ganglia, prefrontal-, premotor-, motor-cortex).
4. Biologically plausible learning processes (learning by trial and error, Hebbian learning e.g. STDP)

Mannella Francesco, Baldassarre Gianluca (2007). A neural-network reinforcement-learning model of domestic chicks that learn to localize the centre of closed arenas. Philosophical Transactions of the Royal Society B – Biological Sciences. Vol. 362 (No. 1479), pp. 383-401.
Baldassarre Gianluca, Nolfi Stefano (2009). Strengths and synergies of evolved and designed controllers: a study within collective robotics. Journal of Artificial Intelligence. Vol. 173, pp. 857-875.
Caligiore Daniele, Borghi Anna, Parisi Domenico, Baldassarre Gianluca (2010). TRoPICALS: A Computational Embodied Neuroscience Model of Compatibility Effects. Psycological Review, vol. 117, Issue 4, pp. 1188-1228.
Mirolli Marco, Mannella Francesco, Baldassarre Gianluca(2010). The roles of the amygdala in the affective regulation of body, brain and behaviour. Connection Science. 22 (3), 215-245.
Mannella Francesco, Mirolli Marco, Baldassarre Gianluca (2010). The interplay of pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat. In Tosh Colin and Ruxton Graeme (eds), "Modelling Perception With Artificial Neural Networks", pp. 93-113. Cambridge, Cambridge University Press.

Publications


Journal articles
*2012*
Caligiore D., Borghi A. M., Parisi D., Ellis R., Cangelosi A., Baldassarre G. How affordances associated with a distractor object affect compatibility effects: A study with the computational model TRoPICALS. In: Psychological Research-Psychologische Forschung, [Online First 11 February 2012]
Taffoni F., Vespignani M., Formica D., Cavallo G., Polizzi Di Sorrentino E., Sabbatini G., Truppa V., Visalberghi E., Mirolli M., Baldassarre G., Keller F., Guglielmelli E. A mechatronic Platform for behavioural analysis of Non Human Primates. In: Journal of Integrative Neuroscience, vol. . p. .. , 2012.
*2011*
Pezzulo G., Baldassarre G., Cesta A., Nolfi S. Research on Cognitive Robotics at the Institute of Cognitive Sciences and Technologies, National Research Council of Italy. In: Cognitive Processing, vol. 12 pp. 367 - 374. Springer, 2011.
*2010*
Caligiore D., Borghi A. M., Parisi D., Baldassarre G. TRoPICALS: a computational embodied neuroscience model of compatibility effects. In: Psychological Review, vol. 117 pp. 1188 - 1228. 2010.
Mirolli M., Mannella F., Baldassarre G. The roles of the amygdala in the affective regulation of body, brain and behaviour. In: Connection Science, vol. 22 (3) pp. 215 - 245. 2010.
*2009*
Baldassarre G., Nolfi S. Strengths and synergies of evolved and designed controllers: a study within collective robotics. In: Artificial Intelligence, vol. 173 pp. 857 - 875. 2009.
*2007*
Baldassarre G., Trianni V., Bonani M., Mondada F., Dorigo M., Nolfi S. Self-organised coordinated motion in groups of physically connected robots. In: IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, vol. 37 (1) pp. 244 - 239. 2007.
Mannella F., Baldassarre G. A neural-network reinforcement-learning model of domestic chicks that learn to localise the centre of closed arenas. In: Philosophical Transactions of the Royal Society of London Series B-Biological Sciences, vol. 362 (1479) pp. 383 - 401. 2007.
*2006*
Baldassarre G., Parisi D., Nolfi S. Distributed coordination of simulated robots based on self-organization. In: Artificial Life, vol. 12 (3) pp. 289 - 311. 2006.
Mannella F., Baldassarre G. Punti di forza e di debolezza dei modelli di apprendimento per rinforzo: un'applicazione all'orientamento spaziale nei pulcini. In: Sistemi Intelligenti, vol. 18 (1) pp. 75 - 84. Il Mulino, 2006.
*2005*
Dorigo M., Tuci E., Gross R., Trianni V., Labella T., Nouyan S., Ampatzis C., Deneubourg J., Baldassarre G., Nolfi S., Mondada F., Floreano D., Gambardella L. The SWARM-BOTS project. In: Lecture Notes in Computer Science, vol. 3342 pp. 31 - 44. E. Sahin, W. M. Spears (eds.). Springer, 2005.
*2004*
Dorigo M., Trianni V., Sahin E., Gross R., Labella T. H., Baldassarre G., Nolfi S., Deneubourg J., Mondada F., Floreano D., Gambardella L. M. Evolving self-organizing behaviors for a swarmbot, Autonomous Robots. In: Autonomous Robots, vol. 17 pp. 223 - 245. 2004.
*2003*
Baldassarre G., Nolfi S., Parisi D. Evolving mobile robots able to display collective behaviour. In: Artificial Life, vol. 9 (3) pp. 255 - 267. 2003.
*2002*
Baldassarre G. A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours. In: Journal of Cognitive Systems Research, vol. 3 (2) pp. 5 - 13. Special Issue Dynamic and Recurrent Neural Networks. 2002.
*2001*
Baldassarre G. Cultural evolution of 'guiding criteria' and behaviour in a population of neural-network agents. In: Journal of Memetics - Evolutionary Models of Information Transmission, vol. 4 2001.
*1997*
Baldassarre G. Neural networks and genetic algorithms for the simulation models of bounded rationality theory - An application to oligopolistic markets. In: Rivista di Politica Economica, vol. 87 (12) pp. 107 - 146. SIPI, 1997.
Baldassarre G. Reti neurali ed algoritmi genetici per la simulazione dei modelli di teoria della razionalità limitata - Un'applicazione ai mercati oligopolistici. In: Rivista di Politica Economica, vol. 87 (12) pp. 115 - 157. SIPI, 1997.
Contribution to Book/Monograph
*2010*
Caligiore D., Mirolli M., Parisi D., Baldassarre G. A bioinspired hierarchical reinforcement learning architecture for modeling learning of multiple skills with continuous state and actions. In: Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob2010). pp. 27 - 34. Johansson B., Sahin E. and Balkenius C (eds.). (Lund University Cognitive Studies, vol. 149). Lund, Sweden: Lund University, 2010.
Caligiore D., Guglielmelli E., Borghi A., Parisi D., Baldassarre G. A reinforcement learning model of reaching integrating kinematic and dynamic control in a simulated arm robot. In: IEEE International Conference on Development and Learning. pp. 211 - 218. Kuipers B., Shultz T., Stoytchev A., Yu C (eds.). Piscataway: IEEE, 2010.
Mannella F., Mirolli M., Baldassarre G. The interplay of pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat. In: Modelling Perception With Artificial Neural Networks. pp. 93 - 113. Tosh C. and Ruxton G (eds.). Cambridge: Cambridge University Press, 2010.
Ognibene D., Pezzulo G., Baldassarre G. How can bottom-up information shape learning of top-down attention-control skills?. In: IEEE International Conference on Development and Learning. pp. 231 - 237. Kuipers B., Shultz T., Stoytchev A., Yu C (eds.). Piscataway: IEEE, 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: Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob2010). pp. 121 - 128. Johansson B., Sahin E. and Balkenius C (eds.). (Lund University Cognitive Studies, vol. 149). Lund, Sweden: Lund University, 2010.
*2009*
Baldassarre G., Mirolli M., Mannella F., Caligiore D., Visalberghi E., Natale F., Truppa V., Sabbatini G., Guglielmelli E., Keller F., Campolo D., Redgrave P., Gurney K., Stafford T., Triesh J., Weber C., Rothkopf C., Nehmzow U., Condell J., Siddique M., Lee M., Huelse M., Schmidhuber J., Gomez F., Foester A., Togelius J., Barto A. The IM-CLeVeR project: intrinsically motivated cumulative learning versatile robots. In: Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob2009): Modeling Cognitive Development in Robotic Systems. pp. 189 - 190. Canamero L., Oudeyer P. Y. , Balkenius C (eds.). (Lund University Cognitive Studies, vol. 146). Lund: Lund University, 2009.
Caligiore D., Borghi A. M., Parisi D., Baldassarre G. Affordances and compatibility effects: a neural-network computational model. In: Connectionist models of behavior and cognition II - Proceedings of the 11th Neural Computation and Psychology Workshop. pp. 15 - 26. Mayor J., Ruh N., Plunkett K (eds.). Singapore: World Scientific, 2009.
Koene A., Mannella F., Baldassarre G. Distal place recognition based navigation control inspired by hippocampus-amygdala interactions. In: Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob2009). pp. 215 - 216. Canamero L., Oudeyer P. Y. , Balkenius C (eds.). (Lund University Cognitive Studies, vol. 146). Lund, Sweden: Lund University, 2009.
Mannella F., Koene A., Baldassarre G. Navigation via Pavlovian conditioning: A robotic bio-constrained model of autoshaping in rats. In: Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob2009). pp. 97 - 104. Canamero L., Oudeyer P. Y. , Balkenius C (eds.). (Lund University Cognitive Studies, vol. 146). Lund, Sweden: Lund University, 2009.
Ognibene D., Pezzulo G., Baldassarre G. How Are Representations Affected by Scene Statistics in an Adaptive Active Vision System?. In: Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob'09). Canamero L., Oudeyer P. Y. , Balkenius C (eds.). (Lund University Cognitive Studies, vol. 146). Lund: Lund University, 2009.
Venditti A., Mirolli M., Parisi D., Baldassarre G. A neural-network model of the dynamics of hunger, learning, and action vigor in mice. In: Artificial life and evolutionary computation - Proceedings of Wivace 2008. pp. 131 - 142. Serra R., Villani M., Poli I (eds.). Singapore: World Scientific, 2009.
*2008*
Baldassarre G. Self-Organization as phase transition in decentralized groups of robots: A study based on Boltzmann Entropy. In: Advances in Applied Self-Organizing Systems. pp. 127 - 146. Berlin: Springer-Verlag, 2008.
Fiore V. G., Mannella F., Mirolli M., Gurney K., Baldassarre G. Instrumental conditioning driven by neutral stimuli: A model tested with a simulated robotic rat. In: Proceedings of the Eight International Conference on Epigenetic Robotics - Modeling Cognitive Development in Robotic Systems. pp. 13 - 20. Schlesinger M., Berthouze L., Balkenius C (eds.). (Lund University Cognitive Studies, vol. 139). Lund, Sweden: Lund University, 2008.
Mannella F., Mirolli M., Baldassarre G. Computational principles underlying the functioning of amygdala in the affective regulation of behaviour. In: The role of emotion in adaptive behaviour and cognitive robotics, SAB2008 Workshop. Low R., Morse A., Ziemke T (eds.). Skovde: University of Skovde, 2008.
Ognibene D., Balkenius C., Baldassarre G. A reinforcement-learning model of top-down attention based on a potential-action map. In: The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. pp. 161 - 184. G. Pezzulo, M.V. Butz, C. Castelfranchi, R. Falcone (eds.). (Lecture Notes in Artificial Intelligence, vol. 5225). Berlin: Springer, 2008.
Pezzulo G., Butz M., Castelfranchi C., Falcone R., Baldassarre G., Balkenius C., Förster A., Grinberg M., Herbort O., Kiryazov K., Kokinov B., Johansson B., Lalev E., Lorini E., Martinho C., Miceli M., Ognibene D., Paiva A., Petkov G., Piunti M., Thorsteinsdottir V. Endowing Artificial Systems with Anticipatory Capabilities: Success Cases. In: The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. pp. 237 - 254. G. Pezzulo, M.V. Butz, C. Castelfranchi, R. Falcone (eds.). (Lecture Notes in Artificial Intelligence, vol. 5225). Berlin: Springer, 2008.
*2007*
Caligiore D., Parisi D., Baldassarre G. Toward an integrated biomimetic model of reaching. In: Proceedings of the 6th IEEE International Conference on Development and Learning (ICDL2007). pp. 241 - 246. Demiris Y., Scassellati B., Mareschal D (eds.). London: Imperial College, 2007.
Herbort O., Ognibene O., Butz M., Baldassarre G. Learning to select targets within targets in reaching tasks. In: The 6th IEEE International Conference on Development and Learning (ICDL2007). pp. 7 - 12. Demiris Y., Scassellati B., Mareschal D (eds.). London: Imperial College, 2007.
*2006*
Baldassarre G. Cosa significa che gli animali computano. In: Cognizione e computazione - Problemi, metodi e prospettive delle spiegazioni computazionali nelle scienze cognitive. pp. 23 - 30. P. Cherubini, P. Giaretta, M. Marraffa, A. Paternoster (eds.). Padova: Cleup, 2006.
Ognibene D., Mannella F., Pezzulo G., Baldassarre G. Integrating reinforcement-learning, accumulator models and motor-primitives to study action selection and researching in monkeys. In: Proceedings of the Seventh International Conference on Cognitive Modeling (ICCM2006). pp. 214 - 219. Fum D., Del Missier F., Stocco A (eds.). Trieste: Edizioni Goliardiche, 2006.
Sperati V., Baldassarre G. Usare l'entropia come indice per evolvere una coppia di robot simulati in grado di esibire comportamenti auto-organizzati. In: Scienze Cognitive e Robotica - Atti del Terzo Convegno Nazionale dell'Associazione Italiana di Scienze Cognitive (AISC3). pp. 147 - 152. A. Greco, C. Penco, G. Sandini, R. Zaccaria (eds.). Genova: Erga Edizioni, 2006.
*2004*
Baldassarre G., Parisi D., Nolfi S. Coordination and behavior integration in cooperating simulated robots. In: From Animals to Animats 8: Proceedings of the VIII International Conference on Simulation of Adaptive Behavior (SAB2004). pp. 385 - 394. Schaal S., Ijspeert A., Billard A., Vijayak S., Hallam J., Meyer J.-A (eds.). Cambridge MA: MIT Press, 2004.
*2003*
Baldassarre G., Nolfi S., Parisi D. Evolution of collective behaviour in a team of physically linked robots. In: Applications of Evolutionary Computing - Proceedings of the Second European Workshop on Evolutionary Robotics. pp. 581 - 592. Raidl G., Guillot A., Meyer J.-A (eds.). (Lecture Notes in Computer Science, vol. 2611). Berlin: Springer Verlag, 2003.
Baldassarre G. Forward and bidirectional planning based on reinforcement learning and neural networks in a simulated robot. In: Adaptive Behaviour in Anticipatory Learning Systems. pp. 179 - 200. Butz M., Sigaud O., Gerard P (eds.). (Lecture Notes in Artificial Intelligence, vol. 2684). Berlin: Springer Verlag, 2003.
Nolfi S., Baldassarre G., Marocco D. The importance of viewing cognition as the result of emergent processes occurring at different time scales. In: Dynamic Systems Approach for Embodiment and Sociality. pp. 43 - 56. Murase K., Asakura T (eds.). Magill-Australia: Advanced Knowledge International Press, 2003.
*2002*
Baldassarre G. A biologically plausible model of human planning based on neural networks and Dyna-PI models. In: Proceedings of the Workshop on Adaptive Behaviour in Anticipatory Learning Systems (ABiALS-2002). pp. 40 - 60. Butz M., Sigaud O., Gerard P (eds.). Wurzburg: University of Wurzburg, 2002.
Baldassarre G., Nolfi S., Parisi D. Evolving mobile robots able to display collective behaviours. In: Proceedings of International Workshop on Self-Organisation and Evolution of Social Behaviour. pp. 11 - 22. Hemelrijk C.K (ed.). Zurich, Switzerland: Swiss Federal Institute of Technology, 2002.
Nolfi S., Baldassarre G., Marocco D. The importance of viewing cognition as the result of emergent processes occurring at different time scales. In: Proceedings of the Third International Symposium on Human and Artificial Intelligent Systems. pp. 63 - 76. Fukui, Japan: Fukui University Press, 2002.
*2001*
Baldassarre G. A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours. In: Proceedings of the Fourth International Conference on Cognitive Modeling (ICCM2001). pp. 37 - 42. Altmann E. M., Cleermans A., Schunn C. D., Gray W. D (eds.). Mahwah, NJ: Lawrence Erlbaum, 2001.
Baldassarre G. A planning modular neural-network robot for asynchronous multi-goal navigation tasks. In: Proceedings of the 2001 Fourth European Workshop on Advanced Mobile Robots (EUROBOT2001). pp. 223 - 230. Arras K. O., Baerveldt A., Balkenius C., Burgard W., Siegwart R (eds.). (Lund University Cognitive Studies, vol. 86). Lund, Sweden: Lund University, 2001.
Baldassarre G. Coarse Planning for Landmark Navigation in a Neural-Network Reinforcement Learning Robot. In: Proceedings of the International Conference on Intelligent Robots and Systems (IROS2001). pp. 2398 - 2403. Piscataway, N.J.: IEEE, 2001.
*2000*
Baldassarre G., Parisi D. Classical and instrumental conditioning: From laboratory phenomena to integrated mechanisms for adaptation. In: From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behaviour (SAB2000). pp. 131 - 139. Meyer J. A., Berthoz A., Floreano D., Roitblat H., Wilson S. W (eds.). Honolulu: International Society for Adaptive Behaviour, 2000.
Baldassarre G. Needs and motivations as mechanisms of learning and control of behaviour: Interference problems with multiple tasks. In: Cybernetics and Systems 2000 - Proceedings of the Fifteenth European Meeting on Cybernetics and Systems Research. pp. 677 - 682. Trappl Robert (ed.). Vienna: Austrian Society for Cybernetic Studies, 2000.
Proceedings
*2011*
Baldassarre G. What are intrinsic motivations? A biological perspective. In: ICDL-EPIROB 2011 - 2011 IEEE Conference on Developmental Learning and Epigenetic Robotics, 2011 (Frankfurt am Main, Germany, 24-27 August 2011). Proceedings, pp. E1 - 8. (Proceedings of the IEEE). IEEE, 2011.
Ciancio A. L., Zollo L., Guglielmelli E., Caligiore D., Baldassarre G. Hierarchical reinforcement learning and central pattern generators for modeling the development of rhythmic manipulation skills. In: ICDL-EPIROB 2011 - First Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (Frankfurt am Main, Germany, 24-27 August 2011). Proceedings, article n. E1. IEEE, 2011.
*2010*
Ognibene D., Pezzulo G., Baldassarre G. Learning to look in different environments: an active-vision model which learns and readapts visual routines. In: SAB 2010 - From Animals to Animats 11, 11th International Conference on Simulation of Adaptive Behavior, 2010 (Paris, 25-28 August 2010). Proceedings, pp. 199 - 210. S. Doncieux, G. Benoit, A. Guillot, J. Hallam, J.-A. Meyer, J.-B. Mouret (eds.). (Lecture Notes in Artificial Intelligence, vol. 6226). Springer, 2010.
*2009*
Baldassarre G., Mirolli M. Il Progetto IM-CLeVeR: Intrinsecally Motivated Cumulative Learning Versatile Robots. In: WIVACE 2009 - Modelli, sistemi e applicazioni di Vita Artificiale e Computazione Evolutiva, WIVACE 2009. Atti del VI Workshop Italiano di Vita Artificiale e Computazione Evolutiva (Napoli, 23-25 novembre 2009). Atti, pp. 43 - 46. O. Miglino, M. Ponticorvo, A. Rega, F. Rubinacci (eds.). Fridericiana Editrice Universitaria, 2009.
Mirolli M., Schembri M., Baldassarre G. Apprendimento cumulativo basato su motivazioni intrinseche: un modello neurale gerarchico testato su un robot simulato. In: WIVACE 2009 - Modelli, sistemi e applicazioni di Vita Artificiale e Computazione Evolutiva, WIVACE 2009. Atti del VI Workshop Italiano di Vita Artificiale e Computazione Evolutiva (Napoli, 23-25 novembre 2009). Atti, pp. 125 - 131. O. Miglino,M. Ponticorvo, A. Rega, F.Rubinacci (eds.). Fridericiana Editrice Universitaria, 2009.
*2008*
Caligiore D., Parisi D., Accornero N., Capozza M., Baldassarre G. Using motor babbling and Hebb rules for modeling the development of reaching with obstacles and grasping. In: CogSys2008 - International Conference on Cognitive Systems 2008 (Karlsruhe, Germany, 2-4 April 2008). Proceedings, pp. E1 - 8. R. Dillmann, C. Maloney, G. Sandini, T. Asfour, G. Cheng, G. Metta, A. Ude (eds.). University of Karlsruhe, 2008.
Mannella F., Zappacosta S., Mirolli M., Baldassarre G. A computational model of the amygdala nuclei's role in second order conditioning. In: SAB 2008 - From Animals to Animats 10, 10th International Conference on Simulation of Adaptive Behavior, SAB 2008. Proceedings (Osaka, Japan, 7-12 July 2008). Proceedings, pp. 321 - 330. M. Asada, J. C.T. Hallam, J.-A. Meyer, J. Tani (eds.). (Lecture Notes in Artificial Intelligence, vol. 5040). Springer, 2008.
Ognibene D., Balkenius C., Baldassarre G. Integrating epistemic action (active vision) and pragmatic action (reaching): a neural architecture for camera-arm robots. In: SAB 2008 - From Animals to Animats 10, 10th International Conference on Simulation of Adaptive Behavior, SAB 2008. Proceedings (Osaka, Japan, 7-12 July 2008). Proceedings, pp. 220 - 229. M. Asada, J. C.T. Hallam, J.-A. Meyer, J. Tani (eds.). (Lecture Notes in Artificial Intelligence, vol. 5040). Springer, 2008.
*2007*
Baldassarre G. Empirical research on brain and behaviour, and agent-based modelling, will have a deep impact on investigations on well-being (and on economics). In: International Conference on Policies for Happiness. (Siena, Italy, 14-17 June 2007). Atti, Bartolini S., Belli F., Bellanca N., Bilancini E., Bosco L., Bruni L., Pugno M (eds.). 2007.
Baldassarre G. Un modello verbale fisicalista (pre-Turing) dei sistemi computazionali naturali ed artificiali. In: WIVACE 2007 - Quarto Workshop Italiano di Vita Artificiale e Computazione Evolutiva 2007 (Sampieri (RG), Italia, 5-7 Settembre 2007). Atti, article n. .. G. Nicosia, M. Pavone (eds.). Univeristà di Catania, 2007.
Cecconi F., Caligiore D., Baldassarre G., Parisi D. Interacting networks as models of cultural change. In: MASHS2007 - Computational Methods for Modelling and Learning in Social and Human Sciences (Brest, Francia, 10-11 May 2007). Proceedings, Gabriel P. Phan D. Waldeck R. Moniere C (ed.). Bretagne: ENST, 2007.
Mannella F., Mirolli M., Baldassarre G. The role of amygdala in devaluation: a model tested with a simulated robot. In: EpiRob2007 - Seventh International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2007. Proceedings (Piscataway, NJ, 5-7 November 2007). Proceedings, pp. 77 - 84. L. Berthouze, C.G. Prince, M. Littman, H. Kozima, C. Balkenius (eds.). (Lund University Cognitive Studies, vol. 135). Lund University, 2007.
Pezzulo G., Baldassarre G., Butz M., Castelfranchi C., Hoffmann J. From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. In: ABiALS 2006 - Anticipatory Behavior in Adaptive Learning Systems. From Brains to Individual and Social Behavior (Rome, Italy, 30 September 2006). Proceedings, pp. 73 - 93. M.V. Butz, O. Sigaud, G. Pezzulo, G. Baldassarre (eds.). (Lecture Notes in Artificial Intelligence, vol. 4520). Springer, 2007.
Schembri M., Mirolli M., Baldassarre G. Evolution and learning in an intrinsically motivated reinforcement learning robot. In: ECAL 2007 - Advances in Artificial Life,9th European Conference, ECAL 2007. Proceedings (Lisbon, 10-14 September 2007). Proceedings, pp. 294 - 333. F. Almeida e Costa, L. M. Rocha, E. Costa, I. Harvey, A. Coutinho (eds.). (Lecture Notes in Artificial Intelligence, vol. 4648). Springer, 2007.
Schembri M., Mirolli M., Baldassarre G. Evolving childhood's length and learning parameters in an intrinsically motivated reinforcement learning robot. In: EpiRob2007 - Seventh International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2007. Proceedings (Piscataway, NJ, 5-7 November 2007). Proceedings, pp. 141 - 148. L. Berthouze, C.G. Prince, M. Littman, H. Kozima, C. Balkenius (eds.). (Lund University Cognitive Studies, vol. 135). Lund University, 2007.
Schembri M., Mirolli M., Baldassarre G. Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot. In: ICDL 2007 - 6th IEEE International Conference on Development and Learning 2007, Proceedings. (London, 11-13 July 2007). Proceedings, pp. 282 - 287. Y. Demiris, B. Scassellati, D. Mareschal (eds.). (Proceedings of the IEEE). IEEE, 2007.
Zappacosta S., Nolfi S., Baldassarre G. A Testbed for Neural-Network Models Capable of Integrating Information in Time. In: ABiALS 2006 - Anticipatory Behavior in Adaptive Learning Systems. From Brains to Individual and Social Behavior (Rome, Italy, 30 September 2006). Proceedings, pp. 189 - 217. M.V. Butz, O. Sigaud, G. Pezzulo, G. Baldassarre (eds.). (Lecture Notes in Artificial Intelligence, vol. 4520). Springer, 2007.
*2006*
Ferrauto T., Baldassarre G., Di Stefano G., Parisi D. Comparison of genetic algorithms used to evolve specialisation in groups of robots. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, Italy, 13-15 Settembre 2006). Atti, Acerbi A., Giansante S., Marocco D (eds.). 2006.
Mannella F., Baldassarre G. Possible roles of orbitofrontal-amygdala loop in modulation of basal ganglia activation. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, Italy, 13-15 Settembre 2006). Atti, Acerbi A., Giansante S., Marocco D (eds.). 2006.
Ognibene D., Rega A., Baldassarre G. A model of reaching integrating continuous reinforcement learning, accumulator models and direct inverse modelling. In: SAB 2006 - From Animals to Animats 9. 9th International Conference on Simulation of Adaptive Behavior, SAB 2006, Proceedings (Rome, Italy, 25-29 September 2006). Proceedings, pp. 381 - 393. S. Nolfi, G. Baldassarre, R. Calabretta, J. Hallam, D. Marocco, O. Miglino, J.-A. Meyer, D. Parisi (eds.). (Lecture Notes in Artificial Intelligence, vol. 4095). Springer, 2006.
Ognibene D., Baldassarre G. Apprendimento per rinforzo e codifica tramite popolazione neurale: un modello per il reaching applicato a due task. In: WIVA 3 - Terzo Workshop Italiano di Vita Artificiale 2006 (Siena, 13-15 Settembre 2006). Atti, A. Acerbi, S. Giansante, D. Marocco (eds.). Centro Sistemi Complessi, 2006.
Pezzulo G., Baldassarre G., Butz M., Castelfranchi C., Hoffman J. An analysis of the ideomotor principle and TOTE. In: ABiALS2006 - Third Workshop on Anticipatory Behavior in Adaptive Learning Systems (ABiALS2006) (Roma, 30 September 2006). Proceedings, article n. .. Butz M. V., Sigaud O., Pezzulo G., Baldassarre G (eds.). Istituto di Scienze e Tecnologie della Cognizione - CNR, 2006.
Pezzulo G., Baldassarre G., Falcone R., Castelfranchi C. The anticipatory nature of representations. In: ASAI50 - 50th Anniversary Summit of Artificial Intelligence (Monte Verità, Ascona, Switzerland, 9-14 July 2006). Proceedings, article n. .. , 2006.
Rega A., Ognibene D., Gigliotta O., Baldassarre G. Un sistema robotico occhio-braccio per lo studio dei processi neurali sottostanti a compiti di reaching costruito presso il LARAL. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, 13-15 Settembre 2006). Atti, article n. .. A. Acerbi, S. Giansante D. Marocco (eds.). Centro Sistemi Complessi, 2006.
Schembri M., Baldassarre G. A pilot study on the evolution of reward signals for hierarchical reinforcement learning. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, Italy, 13-15 September 2006). Atti, article n. .. A. Acerbi, S. Giansante, D. Marocco (eds.). Centro Sistemi Complessi, 2006.
Zappacosta S., Baldassarre G., Nolfi S. Elman neural networks and time integration for object recognition. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, Italy, 13-15 September 2006). Atti, article n. .. A. Acerbi, S. Giansante, D. Marocco (eds.). Centro Sistemi Complessi, 2006.
*2005*
Baldassarre G. Analisi quantitative dell'auto-organizzazione in gruppi di robot simulati. In: Secondo Workshop Italiano di Vita Artificiale (Roma, Italy, 2-5 Marzo 2005). Atti, Baldassarre G., Marocco D. Mirolli M (eds.). 2005.
Baldassarre G., Parisi D., Nolfi S. Sciami di robot che esplorano un ambiente collinoso. In: Secondo Workshop Italiano di Vita Artificiale (Roma, Italy, 2-5 Marzo 2005). Atti, Baldassarre G., Marocco D. Mirolli M (eds.). 2005.
Ferrauto T., Baldassarre G., Di Stefano G., Parisi D. Emergenza della specializzazione in gruppi di robot simulati. In: Secondo Workshop Italiano di Vita Artificiale (Roma, Italy, 2-5 Marzo 2005). Atti, Baldassarre G., Marocco D. Mirolli M (eds.). 2005.
Mannella F., Baldassarre G. Alla ricerca del centro: un modello della navigazione nei pulcini. In: Secondo Workshop Italiano di Vita Artificiale (Roma, Italy, 2-5 Marzo 2005). Atti, Baldassarre G., Marocco D. Mirolli M (eds.). 2005.
*2004*
Baldassarre G., Parisi D., Nolfi S. Coordinamento distribuito mediante auto-organizzazione. In: AISC2 - Secondo Convegno Nazionale dell'Associazione Italiana di Scienze Cognitive (Ivrea (TO), Italy, 19-20 Marzo 2004). Atti, Ivrea: Interaction Design Institute, 2004.
*2003*
Baldassarre G., Nolfi S., Parisi D. Conformismo ed indipendenza sociale per il controllo di robot simulati in compiti collettivi. In: Congresso nazionale della sezione di psicologia sperimentale (Bari, Italy, 22-25 Settembre 2003). Atti, pp. 92 - 94. Bellelli Guglielmo (ed.). Bari: Grafica 080, 2003.
Baldassarre G., Nolfi S., Parisi D. Metodi evolutivi per il controllo di gruppi di robot simulati: emergenza di ruoli dinamici di leader e follower. In: Congresso nazionale della sezione di psicologia sperimentale (Bari, Italy, 22-25 Settembre 2003). Atti, pp. 95 - 97. Bellelli Guglielmo (ed.). Bari: Grafica 080, 2003.
*2002*
Baldassarre G. Orientamento spaziale nei gerbilli: una predizione sperimentale con un modello connessionistico. In: Congresso nazionale della sezione di psicologia sperimentale (Rimini, Italy, 16-18 Settembre 2002). Atti, pp. 67 - 70. Garotti Pier Luigi (ed.). Bologna: Edizioni Nautilus, 2002.
*1999*
Baldassarre G., Parisi D. Trial-and-error learning, noise and selection in cultural evolution - A study through artificial life simulations. In: AISB'99 - Proceedings of the AISB'99 Symposium on Imitation in Animals and Artifacts: 6th-9th April 1999 (Edinburgh, 6-9 April 1999). Proceedings, pp. 32 - 37. K. Dautenhahn, C. Nehaniv (eds.). The Society for the Study of Artificial Intelligence and Simulation of Behaviour, 1999.
*1996*
Baldassarre G. Simulations of oligopolistic markets with artificial agents: Decision procedures as emergent properties of adaptive learning. In: Proceedings of the Third European Congress on Systems Science 1996 (Roma, - 1996). Proceedings, pp. 175 - 179. Pessa E., Penna P., Montesanto A (eds.). Edizioni Kappa, 1996.
Editorials
*2009*
Pezzulo G., Butz M. V., Sigaud O., Baldassarre G. From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. pp. 1 - 9. G. Pezzulo, M. V. Butz, O. Sigaud, G. Baldassarre (eds.). Springer, 2009.
*2007*
Butz M., Sigaud O., Pezzulo G., Baldassarre G. Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. pp. 1 - 18. M.V. Butz, O. Sigaud, G. Pezzulo, G. Baldassarre (eds.). Springer, 2007.
*2006*
Baldassarre G., Marocco D., Mirolli M. Editoriale: La Via Italiana alla Vita Artificiale. vol. 18 (1) pp. 3 - 6. La via italiana alla vita artificiale. G. Baldassare, D. Marocco, M. Mirolli (eds.). Il Mulino, 2006.
Nolfi S., Baldassarre G., Calabretta R., Hallam J., Marocco D., Meyer J., Miglino O., Parisi D. From Animals to Animats 9. 9th International Conference on Simulation of Adaptive Behavior, SAB 2006. Proceedings. p. .. S. Nolfi, G. Baldassarre, R. Calabretta, J. Hallam, D. Marocco, O. Miglino, J.-A. Meyer, D. Parisi (eds.). Springer, 2006.
Technical reports
*2007*
Ferrauto T., Ognibene D., Caligiore D., Baldassarre G. A user interface for physical engine robot simulators. Technical report Technical Report LARAL-ISTC-CNR-2007/001, 2007.
*2006*
Schembri M., Baldassarre G. Evolving reinforcement signals to learn macro actions useful for different navigation tasks. Technical report Technical Report LARAL-ISTC-CNR-2006/002, 2006.
Zappacosta S., Baldassarre G., Nolfi S. Elman neural networks and time integration for object recognition. Technical report Technical Report LARAL-ISTC-CNR-2006/001, 2006.
*1998*
Baldassarre G., Parisi D. Visual attention: early and late selection. Technical report, 1998.
*1997*
Baldassarre G. Classifier systems e reti neurali. Technical report, 1997.
Baldassarre G. Verso uno studio integrato della mente e del cervello. Technical report, 1997.
Dissertations
*1997*
Baldassarre G. Apprendimento per rinforzo e coordinazione sensomotoria. Universita' di Roma "La Sapienza". Thesis, 1997.
Baldassarre G. Reti neurali ed algoritmi genetici per i modelli simulativi di teoria della razionalità limitata - Applicazioni ai mercati oligopolistici. Universita' di Roma "La Sapienza". Thesis, 1997.
Abstracts
*2011*
Caligiore D., Borghi A. M., Parisi D., Ellis R., Cangelosi A., Baldassarre G. Affordances of distractors and compatibility effects: a study with the computational model TRoPICALS. In: CoSyNe 2011 - Computational and Systems Neuroscience 2011 (Salt Lake City, UT, USA, 24-28 February 2011). Abstract, 2011.
Caligiore D., Baldassarre G. Un modello neuro-computazionale per spiegare lo sviluppo del reaching nel bambino. In: XXIV Congresso Nazionale dell'Associazione Italiana di Psicologia - Sezione di Psicologia dello Sviluppo e dell'Educazione (Genova, Italy, 19-21 Settembre 2011). Abstract, pp. 302 - 303. AIP, 2011.
*2010*
Chersi F., Mirolli M., Gurney K., Redgrave P., Baldassarre G. Goal-directed motor sequence learning based on multiple basal ganglia-cortical loops. In: Neuroscience 2010 - 40th Annual Meeting of the Society for Neuroscience (San Diego, USA, 13-17 November 2010). Abstract, article n. 1. Society for Neuroscience, 2010.
Fiore V. G., Mannella F., Mirolli M., Cabib S., Puglisi-Allegra S., Baldassarre G. A computational model of dopamine and norepinephrine dynamics in rats exposed to prolonged, inescapable stress. In: Neuroscience 2010 - 40th Annual Meeting of the Society for Neuroscience (San Diego, USA, 13-17 November 2010). Abstract, article n. 1. Society for Neuroscience, 2010.
*2009*
Fiore V. G., Mannella F., Mirolli M., Cabib S., Puglisi-Allegra S., Baldassarre G. A computational model of stress coping in rats. In: BCCN 2009 - Bernstein Conference on Computational Neuroscience 2009 (Frankfurt am Main, Germany, 30 September - 2 October 2009). Abstract, article n. 1. Frankfurt Institute for Advanced Studies, 2009.
Gaudiello I., Caligiore D., Schiavone G., Salerno A., Sergi F., Zollo L., Guglielmelli E., Parisi D., Baldassarre G., Nicoletti R., Borghi A. M. Effects on space representation of using a tool and a button. In: Cognitive Processing. Abstract, vol. 10 (2) pp. 153 - 154. Springer, 2009.
Mannella F., Mirolli M., Baldassarre G. A computational model of goal-driven behaviours and habits in rats. In: Frontiers in Computational Neuroscience. Bernstein Conference on Computational Neuroscience (Frankfurt am Main, Germany, 30 September - 2 October 2009). Abstract, article n. 1. Zhu J., Krieg D (eds.). Bernstein Focus Neurotechnology, 2009.
*2008*
Caligiore D., Parisi D., Baldassarre G. Compatibility effects and affordances: a neural-network computational model. In: Workshop on Concepts, Actions, and Objects: Functional and Neural Perspectives (Rovereto, Italy, 24-27 April 2008). Abstract, p. 1. Univerità degli Studi di Trento, 2008.