Conferences proceedings publications
- Dandurand, F., Cousineau, D., & Shultz, T. R. (2012). Solving nonogram puzzles by reinforcement learning. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 1452-1557). Austin, TX: Cognitive Science Society.
- Shultz, T. R., Doty, E., & Dandurand, F. (2012). Knowing when to abandon unproductive learning. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 2327-2332). Austin, TX: Cognitive Science Society.
- Dandurand, F., & Shultz, T. R. (2011). A fresh look at vocabulary spurts. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 1134-1139). Austin, TX: Cognitive Science Society.
- Thivierge, J.-P., Dandurand, F., & Cousineau, D. (2011). A multi-state model of cortical memory. Proceedings of the International Joint Conference on Neural Networks (pp. 133-138). Presented at the IJCNN, San Jose, California, USA: IEEE.
- Shultz, T. R., Berthiaume, V., & Dandurand, F. (2010). Bootstrapping syntax from morpho-phonology. In Proceedings of the Ninth IEEE International Conference on Development and Learning. Ann Arbor, MI: IEEE.
- Dandurand, F., Hannagan, T., & Grainger, J. (2010). Neural networks for word recognition: Is a hidden layer necessary? In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 688-693). Austin, TX: Cognitive Science Society.
- Dandurand, F., & Shultz, T. R. (2009). Modeling acquisition of a torque rule on the balance-scale task. In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1541-1546). Austin, TX: Cognitive Science Society.
- Dandurand, F., & Grainger, J. (2008). Compact representations of word location independence in connectionist models. In L. U. Perrinet & E. Dauce (Eds.), Proceedings of the second French conference on Computational Neuroscience (pp. 163-166). Marseille, France.
- Warnier, P., Glotin, H., Dandurand, F., Dufau, S., Fraihat, S., Touzet, C., et al. (2008). "Adaptive Resonance Theory" : L'ordre de présentation des mots compte-t-il? In L. U. Perrinet & E. Dauce (Eds.), Proceedings of the second French conference on Computational Neuroscience (pp. 167-172). Marseille, France.
- Dandurand, F., Shultz, T. R., & Rivest, F. (2007). Complex problem solving with reinforcement learning. In the Proceeding of the Sixth IEEE International Conference on Development and Learning (ICDL-2007) (pp. 157-162): IEEE.
- Dandurand, F., Samuel, S., & Shultz, T. R. (2007). Imitation learning in problem solving tasks: Memorizing or understanding? In the Proceedings of Cognitio 2007. Newcastle upon Tyne, United Kingdom: Cambridge Scholars Publishing.
- Dandurand, F., Shultz, T. R., & Onishi, K. H. (2007). Strategies, heuristics and biases in complex problem solving. In the Proceedings of the Twenty-Ninth Meeting of the Cognitive Science Society (CogSci 2007) (pp. 917-922). New-York: Lawrence Erlbaum Associates.
- Dandurand, F. (2006). Simulation of explicit and implicit category learning: evidence for a single learning system. In the Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society (CogSci 2006). Mahwah, New Jersey: Lawrence Erlbaum Associates, Inc.
- Dandurand, F., Bowen, M. & Shultz, T. R. (2004). Learning by imitation, reinforcement and verbal rules in problem-solving tasks. In the Proceedings of the Third International Conference on Development and Learning (ICDL'04) Developing Social Brains. La Jolla, California, USA: The Salk Institute for Biological Studies.
- Thivierge, J-P., Dandurand, F. & Shultz, T. R. (2004). Transferring domain rules in a constructive network: Introducing RBCC. In the Proceedings of the 2004 International Joint Conference on Neural Networks (IJCNN '04) (Vol. 2, pp. 1403-1408): IEEE.
- Fetter P., Dandurand F., & Regel-Brietzmann P. (1996). Word graph rescoring using confidence measures. In the Proceedings of the Fourth International Conference on Spoken Language Processing (ICSLP '96) (Vol. 1, pp. 10-13): IEEE.
