Research on cognitive robotics at the Institute of Cognitive Sciences and Technologies, National Research Council of Italy

• Baldassarre G et al. (2009) The IM-CLeVeR project: intrinsically motivated cumulative learning versatile robots. In Lola C, Pierre-Yves O, Christian B (eds) In: Proceedings of the ninth international conference on epigenetic robotics (EpiRob2009). Lund University Cognitive Studies, vol 146. Lund University, Lund, pp 189–190

• Baldassarre G, Trianni V, Bonani M, Mondada F, Dorigo M, Nolfi S (2007) Self-organised coordinated motion in groups of physically connected robots. IEEE Trans Syst Manand Cybern 37(1):224–239

  Article  Google Scholar 

• Barsalou LW (1999) Perceptual symbol systems. Behav Brain Sci 22:577–600

  PubMed  CAS  Google Scholar 

• Barsalou LW (2008) Grounded cognition. Annu Rev Psychol 59:617–645

  Google Scholar 

• Bowerman M, Levinson S (2001) Language acquisition and conceptual development. Cambridge University Press, Cambridge

  Book  Google Scholar 

• Caligiore D, Guglielmelli E, Parisi D, Baldassarre, G (2010a) A reinforcement learning model of reaching integrating kinematic and dynamic control in a simulated arm robot. In Kuipers B, Shultz T, Stoytchev A, Yu C (eds), IEEE international conference on development and learning (ICDL 2010). IEEE, Piscataway, pp 211–218

• Caligiore D, Borghi AM, Mirolli M, Parisi D, Baldassarre G (2010b) A bioinspired hierarchical reinforcement learning architecture for modeling learning of multiple skills with continuous state and actions. In Johansson B, Sahin E and Balkenius C (eds), In: Proceedings of the tenth international conference on epigenetic robotics (EpiRob2010). Lund university cognitive studies, vol 149. Lund University, Lund, pp 27–34

• Caligiore D, Borghi A, Parisi, D, Baldassarre G (in press) A computational embodied neuroscience model of compatibility effects. Psychol Rev

• Cangelosi A, Parisi D (1998) The emergence of a language in an evolving population of neural networks. Connect Sci 10(2):83–97

  Article  Google Scholar 

• Cangelosi A, Parisi D (eds) (2002) Simulating the evolution of language. Verlag, London

  Google Scholar 

• Cangelosi A, Metta G, Sagerer G, Nolfi S, Nehaniv C, Fischer K, Tani J, Belpaeme T, Sandini G, Fadiga L, Wrede B, Rohlfing K, Tuci E, Dautenhahn K, Saunders J, Zeschel A (2010) Integration of action and language knowledge: a roadmap for developmental robotics. IEEE Trans Auton Ment Dev 2(3):167–195

  Article  Google Scholar 

• Cappa S, Perani D (2003) The neural correlates of noun and verb processing. J Neuroling 16(2–3):183–189

  Article  Google Scholar 

• Cesta A, D’Aloisi D (1999) Mixed-initiative issues in an agent-based meeting scheduler. User Model User Adap Inter 9(1–2):45–78

  Article  Google Scholar 

• Cesta A, Fratini S (2008) The timeline representation framework as a planning and scheduling software development environment. In: PlanSIG-08 proceedings of the 27th workshop of the UK planning and scheduling special interest group, Edinburgh, December 11–12

• Cesta A, Cortellessa G, Pecora F, Rasconi R (2007a) Supporting interaction in the robocare intelligent assistive environment. In: Proceedings of AAAI spring symposium on interaction challenges for intelligent assistants, Stanford, CA

• Cesta A, Cortellessa G, Denis M, Donati A, Fratini S, Oddi A, Policella N, Rabenau E, Schulster J (2007b) MEXAR2: AI solves mission planner problems. IEEE Intell Syst 22(4):12–19

  Article  Google Scholar 

• Cesta A, Cortellessa G, Giuliani MV, Pecora F, Scopelliti M, Tiberio L (2007c) Psychological implications of domestic assistive technology for the elderly. Psychol J 5(3):229–252

  Google Scholar 

• Cesta A, Finzi A, Fratini S, Orlandini A, Tronci E (2010a) Validation and verification issues in a timeline-based planning system. Knowl Eng Rev 25(3):299–318

  Article  Google Scholar 

• Cesta A, Coradeschi S, Cortellessa G, Gonzalez J, Tiberio L, Von Rump S (2010b) Enabling social interaction through embodiment in ExCITE. In ForItAAL. Second Italian forum on ambient assisted living, Trento, October 5–7

• Cesta A, Cortellessa G, Rasconi R, Pecora F, Scopelliti M, Tiberio L (2011) Monitoring older people with the RoboCare domestic environment: interaction synthesis and user evaluation. Comput Intell 27(1):60–82

  Article  Google Scholar 

• Christiansen MH, Kirby S (2003) Language evolution: the hardest problem in science? In: Christiansen MH, Kirby S (eds) Language evolution: the states of the art. Oxford University Press, Oxford

  Chapter  Google Scholar 

• Cortellessa G, Cesta A (2006) Evaluating mixed-initiative systems: an experimental approach. In ICAPS-06. In: Proceedings of the 16th international conference on automated planning and scheduling

• Cortellessa G, Scopelliti M, Tiberio L, Koch Svedberg G, Loutfi, A, Pecora F (2008) A cross-cultural evaluation of domestic assistive robots. In: Proceedings of AAAI fall symposium on AI in eldercare: new solutions to old problems, November 7–9, Arlington

• Cortellessa G, D’Amico R, Pagani M, Tiberio L, De Benedictis R, Bernardi G, Cesta A (2011) Modeling users of crisis training environments by integrating psychological and physiological data. In: Proceedings of IEA/AIE-11, Siracuse, June

• De Greef J, Nolfi S (2010) Evolution of implicit and explicit communication in a group of mobile robots. In: Nolfi S, Mirolli M (eds) Evolution of communication and language in embodied agents. Verlag, Berlin

  Google Scholar 

• Dominey P (2006) From holophrases to abstract grammatical constructions: insights from simulation studies. In: Clark E, Kelly B (eds) Constructions in acquisition. CSLI Publications, Stanford, pp 137–162

  Google Scholar 

• Elman J (2006) Computational approaches to language acquisition. In: Brown K (ed) In encyclopedia of language and linguistics, vol 2, 2nd edn. Elsevier, Oxford, pp 726–732

  Google Scholar 

• Fratini S, Pecora F, Cesta A (2008) Unifying planning and scheduling as timelines in a component-based perspective. Arch Control Sci 18(2):231–271

  Google Scholar 

• Gallese V (2008) Mirror neurons and the social nature of language: the neural exploitation hypothesis. Soc Neurosci 3:317–333

  Article  PubMed  Google Scholar 

• Glenberg A (1997) What memory is for? Behav Brain Sci 20:1–55

  PubMed  CAS  Google Scholar 

• Glenberg A, Kaschak M (2002) Grounding language in action. Psychon Bull Rev 9:558–565

  Article  PubMed  Google Scholar 

• Goldberg A (2006) Constructions at work: the nature of generalization in language. Oxford University Press, Oxford

  Google Scholar 

• Goldberg A (2009) Constructions work. Cogn Ling 20(1):201–224

  Article  Google Scholar 

• Grush R (2004) The emulation theory of representation: motor control, imagery, and perception. Behav Brain Sci 27:377–396

  PubMed  Google Scholar 

• Haller S, McRoy A, Kobsa S (1999) Computational models of mixed-initiative interaction. Kluwer Academic Publishers, Berlin

  Google Scholar 

• Hommel B, Musseler J, Aschersleben G, Prinz W (2001) The theory of event coding: a framework for perception and action planning. Behav Brain Sci 24(5):849–878

  Article  PubMed  CAS  Google Scholar 

• Hutchins E, Johnson C (2009) Modelling the emergence of language as an embodied collective cognitive activity. Top Cogn Sci 1:523–546

  Article  Google Scholar 

• Jeannerod M (2006) Motor cognition. Oxford University Press, Oxford

  Book  Google Scholar 

• Kaplan F, Oudeyer P, Bergen B (2008) Computational models in the debate over language learn ability. Infant Child Dev 17(1):55–80

  Article  Google Scholar 

• Kirby S (2002) Natural language from artificial life. Artif Life 8(2):185–215

  Article  PubMed  Google Scholar 

• Lakoff G (1987) Women, fire, and dangerous things: what categories reveal about the mind. University of Chicago Press, Chicago

  Google Scholar 

• Langacker R (1987) Foundations of cognitive grammar. Stanford University Press, Stanford

  Google Scholar 

• Langacker RW (2000) A dynamic usage-based model. In: Barlow M, Kemmer S (eds) In usage-based models of language. CSLI Publications, Stanford, pp 1–63

  Google Scholar 

• Langacker R (2008) Cognitive grammar: a basic introduction. Oxford University Press, Oxford

  Google Scholar 

• MacWhinney B (2005) The emergence of linguistic form in time. Connect Sci 17(3–4):191–211

  Article  Google Scholar 

• MacWhinney B (2010) Computational models of child language learning: an introduction. J Child Lang 37:477–485

  Article  PubMed  Google Scholar 

• Mannella F, Mirolli M, Baldassarre G (2010) The interplay of pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat. In: Tosh C, Ruxton G (eds) Modelling perception with artificial neural networks. Cambridge University press, Cambridge, pp 93–113

  Chapter  Google Scholar 

• Massera G, Tuci E, Ferrauto T, Nolfi S (in press). The facilitator role of linguistic instructions on developing manipulation skills. IEEE Comp Intel Mag

• McGann C, Py F, Rajan K, Ryan JP, Henthorn R (2008) Adaptive control for autonomous underwater vehicles. In: AAAI-08 proceedings of the 23rd AAAI conference on artificial intelligence, Chicago

• Mirolli M, Parisi D (2008) How producer biases can favor the evolution of communication: an analysis of evolutionary dynamics. Adapt Behav 16(1):27–52

  Article  Google Scholar 

• Mirolli M, Ferrauto T, Nolfi S (2010a) Categorisation through evidence accumulation in an active vision system. Connect Sci 22(4):331–354

  Article  Google Scholar 

• Mirolli M, Mannella F, Baldassarre G (2010b) The roles of the amygdala in the affective regulation of body, brain, and behaviour. Connect Sci 22(3):215–245

  Article  Google Scholar 

• Muscettola N, Dorais GA, Fry C, Levinson R, Plaunt C (2002) IDEA: planning at the core of autonomous reactive agents. In: Proceedings of the 3rd international NASA workshop on planning and scheduling for space, October

• Nolfi S (2005) Emergence of communication in embodied agents: co-adapting communicative and non-communicative behaviours. Connect Sci 17(3–4):231–248

  Article  Google Scholar 

• Nolfi S, Mirolli M (2010) Evolution of communication and language in embodied agents. Verlag, Berlin

  Book  Google Scholar 

• Oddi A, Cesta A (2000) Toward interactive scheduling systems for managing medical resources. Artif Intell Med 20(2):113–138

  Article  PubMed  CAS  Google Scholar 

• Pecora F, Cesta A (2007) DCOP for smart homes: a case study. Comput Intell 23(4):395–419

  Article  Google Scholar 

• Pezzulo G (2008) Coordinating with the future: the anticipatory nature of representation. Mind Mach 18:179–225

  Article  Google Scholar 

• Pezzulo G (2009) DiPRA: a layered agent architecture which integrates practical reasoning and sensorimotor schemas. Connect Sci 21:297–326

  Article  Google Scholar 

• Pezzulo G (2011) Grounding procedural and declarative knowledge in sensorimotor anticipation. Mind Lang 26:78–114

  Google Scholar 

• Pezzulo G, Calvi G (2007) Designing modular architectures in the framework AKIRA. Multiagent Grid Syst 3:65–86

  Google Scholar 

• Pezzulo G, Calvi G (in press) Computational explorations of perceptual symbol system theory. New Ideas Psychol

• Pezzulo G, Castelfranchi C (2007) The Symbol Detachment Problem. Cogn Process 8:115–131

  Google Scholar 

• Pezzulo G, Castelfranchi C (2009) Thinking as the control of imagination: a conceptual framework for goal directed systems. Psychol Res 73:559–577

  Article  PubMed  Google Scholar 

• Pezzulo G, Barsalou L, Cangelosi A, Fischer M, McRae K, Spivey M (2011) The mechanics of embodiment: a dialogue on embodiment and computational modeling. Front Cogn 2(5):1–21

  Google Scholar 

• Pollack ME (2005) Intelligent technology for an aging population: the use of AI to assist elders with cognitive impairment. AI Mag 26(2):9–24

  Google Scholar 

• Pulvermuller F (2003) The neuroscience of language. on brain circuits of words and serial order. Cambridge University Press, Cambridge

  Book  Google Scholar 

• Rizzolatti G, Arbib M (1998) Language within our grasp. Trends Neurosci 21:188–194

  Article  PubMed  CAS  Google Scholar 

• Santucci VG, Baldassarre G, Mirolli M (2010). Biological cumulative learning requires intrinsic motivation: a simulated robotic study on the development of visually-guided reaching. In: Proceedings of the tenth international conference on epigenetic robotics (EpiRob2010). Sweden, November 5–7, 2010

• Scopelliti M, Giuliani MV, Fornara F (2005) Robots in a domestic setting: a psychological approach. Univers Access Inf Soc 4(2):146–155

  Google Scholar 

• Sperati V, Trianni V, Nolfi S (2010). Evolution of self-organised path formation in a swarm of robots. In Dorigo M, Birattari M, Di Caro GA, Doursat R, Engelbrecht AP, Floreano D, Gambardella LM, Groß R, Şahin E, Stützle Th, Sayama H (eds). In: Proceedings of the 7th international conference on swarm intelligence (ANTS 2010), vol 6234 of lecture notes in computer science. Verlag, Berlin, pp 165–166

• Steels L (1997) The synthetic modeling of language origins. Evol Commun J 1(1):1–34

  Article  Google Scholar 

• Steels L (2003) Evolving grounded communication for robots. Trends Cogn Sci 7(7):308–312

  Article  PubMed  Google Scholar 

• Tiberio L, Padua L, Pellegrino AR, Aprile I, Cortellessa G, Cesta A (2011) Assessing the tolerance of a telepresence robot in users with mild cognitive impairment. In: Proceedings on HRI 2011 workshop on social robotic telepresence, Lausanne, March

• Tomasello M (2003) Constructing a language: an usage-based theory of language acquisition. Harvard University, Cambridge

  Google Scholar 

• Trianni T, Nolfi S (2009) Self-organising sync in a robotic swarm: a dynamical system view. IEEE Transact Evol Comput 13(4):722–741

  Article  Google Scholar 

• Trianni V, Nolfi S, Dorigo M (2006) Cooperative hole-avoidance in a swarm-bot. Rob Auton Syst 54(2):97–103

  Article  Google Scholar 

• Tuci E, Ferrauto T, Massera G, Nolfi S (2010a) The evolution of behavioural and linguistic skills to execute and generate two-word instructions in agents controlled by dynamical neural networks. In: Proceedings of the 12th international conference on the synthesis and simulation of living systems (ALife XII), Odense

• Tuci E, Ferrauto T, Massera G, Nolfi S (2010b) Co-development of linguistic and behavioural skills: compositional semantics and behaviour generalisation. In: Proceedings of the 11th international conference on simulation of adaptive behavior (SAB2010)

• Tuci E, Massera G, Nolfi S (2010c) Active categorical perception of object shapes in a simulated anthropomorphic robotic arm. IEEE Transac Evol Comput J 14(6):885–899

  Article  Google Scholar 

• Tuci E, Ferrauto T, Zeschel A, Massera G, Nolfi S (in press) An experiment on behaviour generalisation and the emergence of linguistic compositionality in evolving robots. IEEE Trans Auton Ment Dev

• Venditti A, Mirolli M, Parisi D, Baldassarre G (2009) In Serra R, Villani M, Poli I (eds) Artificial life and evolutionary computation. In: Proceedings of wivace 2008. A neural-network model of the dynamics of hunger, learning, and action vigor in mice, pp 131–142. World Scientific, California

• Wermter S, Page M, Knowles M, Gallese V, Pulvermller F, Taylor J (2009) Multimodal communication in animals, humans and robots: an introduction to perspectives in brain-inspired informatics. Neural Netw 22(2):111–115

  Article  PubMed  CAS  Google Scholar 

• Wolpert DM, Gharamani Z, Jordan M (1995) An internal model for sensorimotor integration. Science 269:1179–1182

  Article  Google Scholar 

• Wolpert DM, Doya K, Kawato M (2003) A unifying computational framework for motor control and social interaction. Philos Trans R Soc Lond B Biol Sci 358:593–602

  Article  PubMed  Google Scholar 

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