Artificial Life approach to language

Brain and Language

Volumn 59, Issue 1, 1997, Pages 121-146

  Parisi, Domenico ^a  

^a CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; COGNITION; LANGUAGE DEVELOPMENT; LANGUAGE DISABILITY; LEARNING; NERVE CELL NETWORK; SIMULATION; SOCIAL ASPECT; VERBAL COMMUNICATION;

EID: 0031214750     PISSN: 0093934X     EISSN: None     Source Type: Journal    
DOI: 10.1006/brln.1997.1815     Document Type: Article

References (38)

1. Cangelosi A., Parisi D., Nolfi S. Cell division and migration in a 'genotype' for neural networks. Network. 5:1994;497-515.
2. D. Denaro, D. Parisi, 1995, Cultural evolution in populations of neural networks.
3. Diaz R. M., Berk L. E. Private speech. From social interaction to self-regulation. 1992;Erlbaum, Hillsdale.
4. Elman J. L. Finding structure in time. Cognitive Science. 14:1990;179-211.
5. Elman J. L. Learning and development in neural networks: The importance of starting small. Cognition. 48:1993;71-99.
6. Elman J. L. Language processing. The handbook of brain theory and neural networks. 1995;MIT Press, Cambridge.
7. Floreano D., Miglino O., Parisi D. Emerging complex behaviors in ecosystems of neural networks. Caianiello E. R. Parallel architectures and neural networks. 1991;World Scientific, Singapore.
8. D. Floreano, D. Parisi, 1994, A connectionist account of language development: imitation and naming.
9. Fodor J. A., Pylyshyn Z. Connectionism and cognitive architecture: A critical analysis. Pinker S., Fodor J. A. Connections and symbols. 1988;MIT Press, Cambridge.
10. Goldberg D. E. Genetic algorithms in search, optimization, and machine learning. 1989;Addison-Wesley, Reading.
11. Hadley R. F. Systematicity in connectionist language learning. Mind and Language. 9:1994;247-272.
12. Hare M., Elman J. L. From weared to wore: A connectionist model of language change. Proceedings of the 15th Annual Meeting of the Cognitive Science Society. 1993;Erlbaum, Hillsdale.
13. Hamilton W. D. The evolution of social behavior. Journal of Theoretical Biology. 7:1964;1-52.
14. Hinton G. E., Shallice T. Lesioning an attractor network: investigation of acquired dyslexia. Psychological Review. 98:1991;74-95.
15. Holland J. J. Adaptation in natural and artificial systems. 1975;University of Michigan Press, Ann Arbor.
16. Hutchins E., Hazelhurst B. How to invent a lexicon: The development of shared symbols in interaction. Gilbert N., Conte R. Artificial societies. 1995;UCL, London.
17. Jordan M. I., Rumelhart D. E. Forward models: supervised learning with a distal teacher. Cognitive Science. 16:1992;307-354.
18. Langton C. G. Artificial life. Nadel L., Stein D. L. 1991 Lectures in complex systems. 1992;Addison-Wesley, Reading.
19. McClelland J. L. Parallel distributed processing: implications for cognition and development. Morris R. G. M. Parallel distributed processing. 1989;Clarendon Press, Oxford.
20. McClelland J. L., Rumelhart D. E. Parallel distributed processing. 1986;MIT Press, Cambridge.
21. Miller W. T. III, Sutton R. S., Werbos P. J. Neural networks for control. 1990;MIT Press, Cambridge.
22. Mundinger P. C. Animal cultures and a general theory of cultural evolution. Ethology and Sociobiology. 1:1980;183-223.
23. Nolfi S., Parisi D. Evolving artificial neural networks that develop in time. Moran F., Moreno A., Merelo J. J., Chacon P. Advances in artificial life. 1995a;Springer, New York.
24. Nolfi S., Parisi D. "Genotypes" for neural networks. Arbib M. A. The handbook of brain theory and neural networks. 1995b;MIT Press, Cambridge.
25. Parisi D., Cecconi F., Cerini A. Kin-directed altruism and attachment behavior in an evolving population of neural networks. Gilbert N., Conte R. Artificial societies. 1995;UCL, London.
26. Patterson K., Seidenberg M. S., McClelland J. L. Connections and disconnections: acquired dyslexia in a computational model of reading processes. Morris R. G. M. Parallel distributed processing. 1989;Clarendon Press, Oxford.
27. Plaut D. C., Shallice T. Deep dyslexia: a case study of connectionist neuropsychology. Cognitive Neuropsychology. 10:1993;337-500.
28. Plunkett K., Marchmann V. U-shaped learning and frequency effects in a multi-layered perceptron: implications for child language acquisition. Cognition. 38:1991;73-193.
29. Plunkett K., Marchmann V. From rote learning to system building. Cognition. 48:1993;21-69.
30. Reilly R. G., Sharkey N. E. Connectionist approaches to natural language processing. 1992;Erlbaum, Hillsdale.
31. Rumelhart D. E., Hinton G. E., Williams R. J. Learning internal representations by error propagation. Rumelhart D. E., McClelland J. L. Parallel distributed processing. 1986;MIT Press, Cambridge.
32. Rumelhart D. E., McClelland J. L. On learning the past tense of English verbs. McClelland J. L., Rumelhart D. E. Parallel distributed processing. 1986;MIT Press, Cambridge.
33. Seidenberg M. S., McClelland J. L. A distributed, developmental model of word recognition and naming. Psychological Review. 96:1989;523-568.
34. Sejnowski T. J., Rosenberg C. R. Parallel networks that learn to pronounce English text. Complex Systems. 1:1987;145-168.
35. Stevens K. N., House A. S. Development of a quantitative description of vowel articulation. The Journal of the Acoustic Society of America. 2:1955;484-493.
36. Werner G. M., Dyer M. G. Evolution of communication in artificial organisms. Langton C. G., Taylor C., Farmer J. D., Rasmussen S. Artificial life II. 1991;Addison-Wesley, Reading.
37. Werner G. M., Dyer M. G. BioLand: a massively parallel environment for evolving distributed forms of intelligent behavior. Kitano H. Massively parallel artificial intelligence. 1994;MIT Press, Cambridge.
38. G. M. Werner, Modeling comprehension as behavior change.