Symbol grounding in connectionist and adaptive agent models

Lecture Notes in Computer Science

Volumn 3526, Issue , 2005, Pages 69-74

  Cangelosi, Angelo ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER SIMULATION; NEURAL NETWORKS;

ADAPTIVE AGENTS; COGNITIVE SYMBOL GROUNDING; SENSORIMOTOR;

COMPUTER PROGRAMMING LANGUAGES;

EID: 26444527485     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494645_10     Document Type: Conference Paper

References (9)

1. Cangelosi, A.: Grounding symbols in perceptual and sensorimotor categories: Connectionist and embodied approaches. In: Cohen, H., Lefebvre, C. (Eds), Handbook of Categorization in Cognitive Science, Elsevier (2005)
2. Cangelosi, A., Harnad, S.: The Adaptive Advantage of Symbolic Theft over Sensorimotor Toil: Grounding Language in Perceptual Categories. Evolution of Communication 4 (2000) 117-142
3. Cangelosi, A., Parisi, D.: The processing of verbs and nouns in neural networks: Insights from synthetic brain imaging. Brain and Language, 89 (2004) 401-408
4. Cangelosi, A., Riga, T.: Adaptive agent and robotic approaches to the sensorimotor grounding of language Artificial Intelligence Journal (in submission)
5. Coventry, K.R.,Cangelosi, A., Rajapakse, R., Bacon, A., Newstead, S., Joyce, D., Richards, L. V.: Spatial prepositions and vague quantifiers: Implementing the functional geometric framework. Spatial Cognition Conference, Germany, 11-13 October (2004)
6. Harnad, S.: The Symbol Grounding Problem. Physica D, 42 (1990) 335-346
7. Harnad, S., Hanson, S. J. and Lubin, J.: Categorical perception and the evolution of super-vised learning in neural nets. In D.W. Powers and L. Reeker (Eds.), Proceedings of Proceedings of the AAAI Spring Symposium on Machine Learning of Natural Language and Ontology (1991)
8. Plunkett, K., Sinha, C., Mller, M.F., Strandsby, O.: Symbol grounding or the emergence of symbols? Vocabulary growth in children and a connectionist net. Connection Science, 4 (1992) 293-312
9. Riga, T., Cangelosi, A., Greco, A.: Symbol grounding transfer with hybrid self-organizing/supervised neural networks. Proceedings of IJCNN04 International Joint Conference on Neural Networks. Budapest, July (2004)