Abstract
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning mechanism within CTS that will allow it to first establish, through data mining algorithms, gross user group models. CTS then uses these models to find the cause of mistakes made by users, evaluate their performance, predict their future behavior, and, through a Pedagogical Knowledge mechanism, decide which tutoring intervention fits best.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Dubois, D., Poirier, P., Nkambou, R.: What Does Consciousness Bring to CTS? In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 803–806. Springer, Heidelberg (2008)
Franklin, S., Patterson, F.G.J.: The LIDA architecture:adding new modes of learning to an intelligent, autonomous, software agent. Integrated Design and Process Technology (2006)
Nkambou, R., Belghith, K., Kabanza, F., Khan, M.: Supporting Training on Canadarm Simulator using a Flexible Path Planner. In: Artificial Intelligence in Education, pp. 953–955. IOS Press, Amsterdam (2005)
Purves, D., Brannon, E., Cabeza, R., Huettel, S.A., LaBar, K., Platt, M., Woldorff, M.: Principles of cognitive neuroscience. Sinauer Associates, Sunderland (2008)
Maldonado, A., Catena, A., Perales, J.C., Cándido, A.: Cognitive Biases in Human Causal Learning (2007)
Maes, P.: How to do the right thing. Connection Science 1, 291–323 (1989)
Anderson, J.R.: Rules of the mind. Erlbaum, Mahwah (1993)
Schoppek, W.: Stochastic Independence between Recognition and Completion of Spatial Patterns as a Function of Causal Interpretation. In: Proceedings of the 24th Annual Conference of the Cognitive Science Society (2002)
Sun, R.: The CLARION cognitive architecture: Extending cognitive modeling to social simulation. In: Cognition and Multi-Agent interaction. Cambridge University Press, New York (2006)
Hélie, S.: "Modélisation de l’apprentissage ascendant des connaissances explicites dans une architecture cognitive hybride," PHD, DIC, UQAM, Montréal (2007)
Gopnik, A., Glymour, C., Sobel, D.M., Schulz, L.E., Kushnir, T., Danks, D.: A Theory of Causal Learning in Children: Causal Maps and Bayes Nets. Psychological Review 111(1) (2004)
Hofstadter, D.R., Mitchell, M.: The Copycat Project: A model of mental fluidity and analogy-making. In: Holyoak, K.J., Barnden, J.A. (eds.) Advances in connectionist and neural computation theory, Ablex. logical connections, vol. 2 (1994)
Faghihi, U., Fournier-Viger, P., Nkambou, R., Poirier, P., Mayers, A.: How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent. In: Proceedings of the 2009 IEEE Symposium on Intelligent Agents (2009)
Faghihi, U., Poirier, P., Dubois, D., Nkambou, R.: Implementation of Emotional Learning for Cognitive Tutoring Agents. In: 7th Mexican International Conference on Artificial Intelligence (MICAI 2008). IEEE Computer Society press, Los Alamitos (2008)
Fournier-Viger, P., Faghihi, U., Nkambou, R., Mephu Nguifo, E.: CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences. In: FLAIRS Conference (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Faghihi, U., Fouriner-viger, P., Nkambou, R., Poirier, P. (2010). The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13025-0_46
Download citation
DOI: https://doi.org/10.1007/978-3-642-13025-0_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13024-3
Online ISBN: 978-3-642-13025-0
eBook Packages: Computer ScienceComputer Science (R0)