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Towards a constructivist methodology: learning constructions by integrating in situ representations and productivity Cover

Towards a constructivist methodology: learning constructions by integrating in situ representations and productivity

Open Access
|Jan 2013

References

  1. Anderson, J. R. 1983. The architecture of cognition. Cambridge, MA: Harvard University Press.
  2. Barlow, H. B. 1990. Conditions for versatile learning, Helmholtzs unconscious inference, and the task of perception. Vision Research, 30: 1561-1571.
  3. Barsalou, L. W. 1999. Perceptual symbol systems. Behavioural and Brain Sciences, 22: 577-660.
  4. Bechtel, W., and Abrahamsen, A. 2002. Connectionism and the mind: Parallel processing, dynamics, and evolution in networks. Second Edition. Oxford: Basil Blackwell.
  5. Culicover, P. W., and Jackendoff, R. 2005. Simpler syntax. Oxford: Oxford University Press.10.1093/acprof:oso/9780199271092.001.0001
  6. Edelman, S. 2008. Computing the mind. Oxford: Oxford University Press.
  7. Fillmore, C. J. 1965. Indirect object constructions and the ordering of transformations. The Hague: Mouton.
  8. Fodor, J. A., and Pylyshyn, Z. 1988. Connectionism and cognitive architecture: A critical analysis. Cognition. 28: 371.10.1016/0010-0277(88)90031-5
  9. Fodor, J. A. 2000. The mind doesn’t work that way. Cambridge, MA: MIT Press.10.7551/mitpress/4627.001.0001
  10. Goldberg, A. E. 1995. Constructions. Chigago: University of Chicago Press.
  11. Goldberg, A. E. 2006. Constructions at work. Oxford: Oxford University Press.
  12. Hadley, R. 2008. The problem of rapid variable creation. Neural Computation, 20: 123.
  13. Harnad, S. 1991. The symbol grounding problem. In S. Forrest (ed.) Emergent computation: Selforganizing , collective, and cooperative phenomena in natural and artificial computing networks. Cambridge, (pp. 335-346). MA: MIT Press.
  14. Harris, Z. S. 1968. Mathematical structures of language. New York: Wiley.
  15. Hebb, D. O. 1949. The Organization of Behavior. New York: Wiley.
  16. Jackendoff, R., and Pinker, S. 2005. The nature of the language faculty and its implications for the evolution of language. Cognition, 97: 211-225.
  17. Jackendoff, R. 2002. Foundations of language. Oxford: Oxford University Press.10.1093/acprof:oso/9780198270126.001.0001
  18. Lakoff, G. 1987. Women, fire, and dangerous things: What categories reveal about the mind. Chigago: University of Chicago Press.10.7208/chicago/9780226471013.001.0001
  19. Marcus, G. F. 2001. The algebraic mind. Cambridge, MA: MIT Press.10.7551/mitpress/1187.001.0001
  20. Mojsilovic, A. 2005. A computational model for color naming and describing color composition of images. IEEE Transactions on Image processing, 14: 690-699.
  21. Newell, A. 1990. Unified theories of cognition. Cambridge, MA: Harvard University Press.
  22. Piaget, J. 1950. The Psychology of Intelligence. New York: Routledge.
  23. Pinker, S. 1998. How the mind works. London: Penguin.10.1037/e412892005-002
  24. Roy, D. 2005. Grounding words in perception and action: computational insights. Trends in Cognitive Sciences, 9: 389- 395.
  25. Thompson, P. W. 1995. Constructivism, cybernetics, and information processing: Implications for research on mathematical learning. In L. P. Streffe and J. Gale (Eds.), Constructivism in education (pp. 123-14). Hillsdale, NJ: Erbaum.
  26. Thórisson, K. R. 2009. From constructionist to constructivist A.I. Keynote, AAAI Fall Symposium- Biologically Inspired Cognitive Architectures, 175-183. AAI Tech Report FS-09-01, AAAI press, Menlo Park, CA.
  27. van der Velde, F., and de Kamps, M. 2006. Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences, 29: 37-70.
  28. van der Velde, F., and de Kamps, M. 2010. Learning of control in a neural architecture of grounded language processing. Cognitive Systems Research, 11: 93107.
  29. van der Velde, F., and de Kamps, M. 2011. Compositional connectionist structures based on in situ grounded representations. Connection Science, 23: 97-107.
  30. van der Velde, F. 2010. Where Artificial Intelligence and Neuroscience Meet: The Search for Grounded Architectures of Cognition. Advances in Artificial Intelligence, 2010: 1-18. doi:10.1155/2010/918062.10.1155/2010/918062
Language: English
Page range: 101 - 121
Published on: Jan 4, 2013
Published by: Artificial General Intelligence Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2013 Frank van der Velde, published by Artificial General Intelligence Society
This work is licensed under the Creative Commons License.