SEARCH

SEARCH BY CITATION

References

  • Barsalou, L. (1999). Perceptual symbol systems. Behavioral and Brain Sciences, 22, 577609.
  • Borghi, A. M., Glenberg, A. M., & Kaschak, M. P. (2004). Putting words in perspective. Memory & Cognition, 32, 863873.
  • Burgess, C., & Lund, K. (1997). Modeling parsing constraints with high-dimensional context space. Language and Cognitive Processes, 12, 177210.
  • Cangelosi, A. (2006). Embodied connectionism: From feature-based neural network simulations to embodied neural network agents. Manuscript in preparation.
  • Cangelosi, A. (2005). Approaches to grounding symbols in perceptual and sensorimotor categories. In H. Cohen & C. Lefebvre (Eds.), Handbook of categorization in cognitive science (pp. 719737). New York : Elsevier.
  • Cangelosi, A., Bugmann, G. & Borisyuk, R. (Eds.). (2005). Modeling language, cognition and action: Proceedings of the 9th neural computation and psychology workshop. Singapore : World Scientific.
  • Cangelosi, A., Greco, A., & Harnad, S. (2000). From robotic toil to symbolic theft: Grounding transfer from entry-level to higher-level categories. Connection Science, 12, 143162.
  • Cangelosi, A., Hourdakis, E., & Tikhanoff, V. (2006). Language acquisition and symbol grounding transfer with neural networks and cognitive robots. In Proceedings of IEEE Conference on Computational Intelligence. Vancouver, British Columbia , Canada . July 2006.
  • Cangelosi, A. & Parisi, D. (Eds.). (2002). Simulating the evolution of language. London : Springer.
  • Cangelosi, A., & Parisi, D. (2004). The processing of verbs and nouns in neural networks: Insights from synthetic brain imaging. Brain and Language, 89, 401408.
  • Cappa, S. F., & Perani, D. (2003). The neural correlates of noun and verb processing. Journal of Neurolinguistics, 16, 183189.
  • Charman, T., Baron-Cohen, S., Swettenham, J., Baird, G., Cox, A., & Drew, A. (2000). Testing joint attention, imitation, and play as infancy precursors to language and theory of mind. Cognitive Development, 15, 481498.
  • Coventry, K. R., Cangelosi, A., Rajapakse, R., Bacon, A., Newstead, S., Joyce, D., et al. (2005). Spatial prepositions and vague quantifiers: Implementing the functional geometric framework. In C. Freksa, B. Knauff, B. Krieg-Bruckner & B. Nebel (Eds.), Spatial cognition: Volume IV. Reasoning, action and interaction (Lecture notes in computer science) (pp. 98110). New York : Springer-Verlag.
  • Coventry, K. R., & Garrod, S. C. (2004). Saying, seeing and acting: The psychological semantics of spatial prepositions. Hove , England : Psychology Press.
  • Dautenhahn, K. & Nehaniv, C. (Eds.). (2002). Imitation in animals and artifacts. Cambridge , MA : MIT Press.
  • Demiris, Y., & Johnson, M. (2003). Distributed, predictive perception of actions: A biologically inspired robotics architecture for imitation and learning. Connection Science, 15, 231243.
  • Desmurget, M., & Prablanc, C. (1997). Postural control of three-dimensional prehension movements. Journal of Neurophysiology, 77, 452464.
  • Dominey, P. (2005). Emergence of grammatical constructions: Evidence from simulation and grounded agent experiments. Connection Science, 17, 289306.
  • Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14, 179211.
  • Feldman, J., & Narayanan, S. (2004). Embodied meaning in a neural theory of language. Brain and Language, 89, 385392.
  • Fodor, J. A. (1975). The language of thought. Cambridge , MA : Harvard University Press.
  • Gallese, V., & Lakoff, G. (2005). The brain's concepts: The role of the sensory-motor system in reason and language. Cognitive Neuropsychology, 22, 455479.
  • Glenberg, A. M. (1997). What memory is for. Behavioral & Brain Sciences, 20, 155.
  • Glenberg, A. M. (2005). Lessons from the embodiment of language: Why simulating human language comprehension is hard. In A. Cangelosi, G. Bugmann & R. Borisyuk (Eds.), Modeling language, cognition and action: Proceedings of the 9th neural computation and psychology workshop (pp. 1730). Singapore : World Scientific.
  • Glenberg, A. M., & Kaschak, M. (2002). Grounding language in action. Psychonomic Bulletin & Review, 9, 558565.
  • Glenberg, A. M., & Robertson, D. A. (2000). Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning. Journal of Memory & Language, 43, 379401.
  • Greco, A., Riga, T., & Cangelosi, A. (2003). The acquisition of new categories through grounded symbols: An extended connectionist model. In O. Kaynak, E. Alpaydin, E. Oja & L. Xu (Eds.), Artificial neural networks and neural information processing—ICANN/ICONIP 2003 (Lecture Notes in Computer Science 2714) (pp. 773770). Berlin : Springer.
  • Harnad, S. (1990). The symbol grounding problem. Physica D, 42, 335346.
  • Hourkadis, E., & Cangelosi, A. (2005). Grounding transfer in autonomous robots. 22nd Annual Workshop of the European Society for the Study of Cognitive Systems, London.
  • Joyce, D., Richards, L., Cangelosi, A., & Coventry, K. R. (2003). On the foundations of perceptual symbol systems: Specifying embodied representations via connectionism. In F. Detje, D. Dörner & H. Schaub (Eds.), The logic of cognitive systems. Proceedings of the fifth international conference on cognitive modeling (pp. 147152). Bamberg : Universitätsverlag Bamberg.
  • Kaschak, M. P., Madden, C. J., Therriault, D. J., Yaxley, R. H., Aveyard, M. E., Blanchard, A. A., et al. (2005). Perception of motion affects language processing. Cognition, 94, B79B89.
  • Kirby, S. (2001). Spontaneous evolution of linguistic structure: An iterated learning model of the emergence of regularity and irregularity. IEEE Transactions on Evolutionary Computation and Cognitive Science, 5, 102110.
  • Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104, 211240.
  • Marocco, D., Cangelosi, A., & Nolfi, S. (2003). The emergence of communication in evolutionary robots. Philosophical Transactions of the Royal Society of London—A, 361, 23972421.
  • Massera, G., Nolfi, S., & Cangelosi, A. (2005). Evolving a simulated robotic arm able to grasp objects. In A. Cangelosi, G. Bugmann & R. Borisyuk (Eds.), Modeling language, cognition and action: Proceedings of the 9th neural computation and psychology workshop (pp. 203208). Singapore : World Scientific.
  • McClelland, J., Plunkett, K. & Weng, J. (in press). Autonomous mental development [Special issue]. IEEE Transactions on Evolutionary Computation.
  • Pecher, D. & Zwaan, R. A. (Eds.). (2005). Grounding cognition: The role of perception and action in memory, language, and thinking. Cambridge , England : Cambridge University Press.
  • Prince, G. P., & Demiris, Y. (2003). Editorial: Introduction to the Special Issue on Epigenetic Robotics. Adaptive Behavior, 11, 7577.
  • Pulvermüller, F. (1999). Words in the brain's language. Behavioral and Brain Sciences, 22, 253270.
  • Riga, T., Cangelosi, A., & Greco, A. (2004). Symbol grounding transfer with hybrid self-organizing/supervised neural networks. In IEEE International Joint Conference on Neural Networks—Proceedings (Vol. 4, pp. 28652869). Budapest .
  • Roy, D., Hsiao, K., & Mavridis, N. (2003). Conversational robots: Building blocks for grounding word meanings. In Proceedings of the HLT-NAACL03 workshop on learning word meaning from non-linguistic data..
  • Schaal, S. (1999). Is imitation learning the route to humanoid robots. Trends in Cognitive Sciences, 3, 233242.
  • Smith, L., & Gasser, M. (2005). The development of embodied cognition: Six lessons from babies. Artificial Life, 11, 1330.
  • Steels, L. (2003) Evolving grounded communication for robots. Trends in Cognitive Sciences, 7, 308312.
  • Steels, L., & Kaplan, F. (2000). AIBO's first words: The social learning of language and meaning. Evolution of Communication, 4, 332.
  • Steels, L., Kaplan, F., McIntyre, A. & Van Looveren, J. (2002). Crucial factors in the origins of word-meaning. In A. Wray (Ed.), The transition to language (pp. 252271), Oxford , England : Oxford University Press.
  • Sugita, Y., & Tani, J. (2004). A connectionist approach to learn association between sentences and behavioral patterns of a robot. In S. Schaal, A. J. Jan Ijspeert, A. Billard, S. Vijayakumar, J. Hallam, & J.-A. Meyer (Eds.), Proceedings of the Eighth international conference on the simulation of adaptive behavior: From animals to animats 8. Cambridge , MA : MIT Press.
  • Tomasello, M. (2002). Some facts about primate (including human) communication and social learning. In A. Cangelosi & D. Parisi (Eds.), Simulating the evolution of language (pp. 327340). London : Springer.
  • Tsiotas, G., Borghi, A., & Parisi, D. (2005). Objects and affordances: An artificial life simulation. In Proceedings of the XXVII annual meeting of the Cognitive Science Society, Stresa.
  • Tucker, M., & Ellis, R. (2001). The potentiation of grasp types during visual object categorization. Visual Cognition, 8, 769800.
  • Weng, J., McClelland, J., Pentland, A., Sporns, O., Stockman, I., Sur, M., et al. (2001). Autonomous mental development by robots and animals. Science, 291, 599600.
  • Wisniewski, E. J. (1997). When concepts combine. Psychonomic Bulletin and Review, 4, 167183.
  • Yu, C. (2005). The emergence of links between lexical acquisition and object categorization: A computational study. Connection Science, 17, 381397.
  • Zwaan, R. A. (2004). The immersed experience: Toward an embodied theory of language comprehension. In B. H. Ross (Ed.), The psychology of language and motivation (Vol. 44). New York : Academic.
  • Zwaan, R. A., Madden, C. J., Yaxley, R. H., & Aveyard, M. E. (2004). Moving words: Dynamic mental representations in language comprehension. Cognitive Science, 28, 611619.