Compositionality in a knowledge-based constructive learner

AAAI Fall Symposium - Technical Report

Volumn FS-04-03, Issue , 2004, Pages 54-58

  Rivest, François ^a   Shultz, Thomas R ^b  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SERVICES; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; PROBLEM SOLVING;

CHESSBOARD PROBLEMS; KNOWLEDGE-BASED CONSTRUCTIVE LEARNING; PARITY;

LEARNING SYSTEMS;

EID: 32844469226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. Fahlman, S. E., and Lebiere, C. 1990. The cascade-correlation learning architecture. In D. S. Touretzky ed., Advances in Neural Information Processing Systems 2, pp. 524-532. Los Altos, CA: Morgan Kaufmann.
3. Fodor, J. A., and Pylyshyn, Z. W. 1988. Connectionism and cognitive architecture: A critical analysis. Cognition, 28, 3-71.
4. Pinker, S. 1997. How the Mind Works. New York: Norton.
5. Pollack, J. 1990. Recursive distributed representations. Artificial Intelligence, 46, 77-105.
6. Rivest, F., and Shultz, T. R. 2002. Application of knowledge-based cascade-correlation to vowel recognition. IEEE International Joint Conference on Neural Networks 2002 (pp. 53-58).
7. Shultz, T. R. 2003. Computational Developmental Psychology. Cambridge, MA: MIT Press.
8. Shultz, T. R., and Rivest, F. 2001. Knowledge-based cascade-correlation: Using knowledge to speed learning. Connection Science, 13, 1-30.
9. Thivierge, J.-P., and Shultz, T. R. 2002. Finding relevant knowledge: KBCC applied to splice-junction determination. IEEE International Joint Conference on Neural Networks 2002 (pp. 1401-1405).
10. van Gelder, T. 1990. Compositionality: A connectionist variation on a classical theme. Cognitive Science, 14, 355-364.