Recent Lab Publications


| Publications | Tutorials |

If you wish to download any of our papers, please note that they're PDF documents and that you will need an appropriate viewer. If you need a utility to view these files, you may visit Adobe to download their free Acrobat Reader.

Due to space limitations, this is only a partial list of our lab publications covering 2000-2003. For a more exhaustive list of publications, please consult: www.psych.mcgill.ca/perpg/fac/shultz/personal/Recent_Publications.htm

Publications

Shultz, T. R., & Rivest, F. (2003). Knowledge-based cascade-correlation: Varying the size and shape of relevant prior knowledge. In H. Yanai, A. Okada, K. Shigemasu, Y. Kano, & J. J. Meulman (Eds.), New developments in psychometrics, pp. 631-638. Tokyo: Springer-Verlag.pdf.

Shultz, T. R. (2003). Computational developmental psychology. Cambridge, MA: MIT Press. Book website

Thivierge, J.-P., & Shultz, T.R. (2002). Finding relevant knowledge: KBCC applied to splice-junction determination. IEEE International Joint Conference on Neural Networks 2002 (pp. 1401-1405). Abstract

Rivest, F., & Shultz, T.R. (2002). Application of knowledge-based cascade-correlation to vowel recognition. IEEE International Joint Conference on Neural Networks 2002 (pp. 53-58). Abstract

Shultz, T. R. (2001). Connectionist models of development. In N. J. Smelser & P. B. Baltes (Eds.), International Encyclopedia of the Social and Behavioral Science (Vol. 4, pp. 2577-2580). Oxford: Pergamon. Abstract

Shultz, T. R. (2001). Constraint satisfaction models. In N. J. Smelser & P. B. Baltes (Eds.), International Encyclopedia of the Social and Behavioral Sciences (Vol. 4, pp. 2648-2651). Oxford: Pergamon. Abstract

Shultz, T. R., & Bale, A. C. (2001). Neural network simulation of infant familiarization to artificial sentences: Rule-like behavior without explicit rules and variables. Infancy, 2, 501-536. Abstract

Shultz, T. R., & Rivest, F. (2001). Knowledge-based cascade-correlation: Using knowledge to speed learning. Connection Science, 13, 43-72. Abstract

Shultz, T. R. (2001). Assessing generalization in connectionist and rule-based models under the learning constraint. Proceedings of the Twenty-third Annual Conference of the Cognitive Science Society (pp. 922-927). Mahwah, NJ: Erlbaum. Abstract

Kamimura, R., Kamimura, T., & Shultz, T. R. (2001). Structural information control for flexible competitive learning. In V. Kurdova, N. C. Steele, R. Neruda, & M. Karny (Eds.), Artificial neural nets and genetic algorithms: Proceedings of the International Conference in Prague, Czech Republic, 2001 (pp. 90-93). Heidelberg, Germany: Springer-Verlag. Abstract

Kamimura, R., Kamimura, T., & Shultz, T. R. (2001). Information theoretic competitive learning and linguistic rule acquisition. Transactions of the Japanese Society for Artificial Intelligence, 16, 287-298. Abstract

Kamimura, T., Kamimura, R., & Shultz, T. R. (2001). Linguistic rule acquisition by information maximization: Neural networks infer the use of donatory verbs. Proceedings of the IASTED International Symposia, Applied Informatics: Artificial Intelligence and Applications (pp. 90-94). Anaheim, CA: ACTA Press. Abstract

Kamimura, R., Kamimura, T., & Shultz, T. R. (2001). Self-organization by information control. Proceedings of the IASTED International Symposia, Applied Informatics: Artificial Intelligence and Applications (pp. 188-192). Anaheim, CA: ACTA Press. Abstract

Shultz, T. R. (2000). Prototypes and portability in artificial neural network models. Behavioral and Brain Sciences, 23, 493-494. Abstract

Buckingham, D., & Shultz, T. R. (2000). The developmental course of distance, time, and velocity concepts: A generative connectionist model. Journal of Cognition and Development, 1, 305-345. Abstract

Sirois, S., Buckingham, D., & Shultz, T. R. (2000). Artificial grammar learning by infants: An auto-associator perspective. Developmental Science, 4, 442-456. Abstract

Shultz, T. R., & Lepper, M. R. (2000). Simulation of self-affirmation phenomena in cognitive dissonance. Proceedings of the Twenty-second Annual Conference of the Cognitive Science Society (pp. 464-468). Mahwah, NJ: Erlbaum. Abstract

Shultz, T. R., & Bale, A. C. (2000). Infant familiarization to artificial sentences: Rule-like behavior without explicit rules and variables. Proceedings of the Twenty-second Annual Conference of the Cognitive Science Society (pp. 459-463). Mahwah, NJ: Erlbaum. Abstract

Shultz, T. R., & Rivest, F. (2000). Using knowledge to speed learning: A comparison of knowledge-based cascade-correlation and multi-task learning. Proceedings of the Seventeenth International Conference on Machine Learning (pp. 871-878). San Francisco: Morgan Kaufmann. Abstract

Shultz, T. R., & Rivest, F. (2000). Knowledge-based cascade-correlation. Proceedings of the International Joint Conference on Neural Networks, Vol. V (pp. 641-646). Los Alamitos, CA: IEEE Computer Society Press. Abstract

Tutorials

Shultz, T. R. (2003). A tutorial on the consonance model of constraint satisfaction. (Note: Your browser must be set to enable active scripting.) Slideshow

Shultz, T. R., & Rivest, F. (2003). A tutorial on knowledge-based cascade-correlation. (Note: Your browser must be set to enable active scripting.) Slideshow

Thivierge, J.P. (2003). A tutorial on the Java-based KBCC library.Full tutorial

Shultz, T. R. (2000). A tutorial on cascade-correlation. (Note: Your browser must be set to enable active scripting.) Slideshow

Shultz, T. R., & Bale, A. C. (2000). A tutorial on the encoder option in cascade-correlation. (Note: Your browser must be set to enable active scripting.) Slideshow