Abstract
An important research problem for developing complex cognitive agents is to provide them with human-like learning mechanisms. One important type of learning among episodic, emotional, and procedural learning is causal learning. In current cognitive agents, causal learning has up to now been implemented with techniques such as Bayesian networks that are not scalable for handling a large volume of data like a human does. In this paper, we address this problem of causal learning using a modified constraint based data mining algorithm that respects temporal ordering of the events. That is, from a huge amount of data, the algorithm filters the data to extract the most important information. We illustrate the application of this learning mechanism in a cognitive tutoring agent for the complex domain of teaching robotic arm manipulation.
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
Gopnik, A., Schulz, L. (eds.): Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press, USA (2007)
Sarma, V.V.S.: Decision making in complex systems. Springer, Netherlands (1993)
Leighton, J.P.: Defining and describing reason. In: Leighton, J.P., Sternberg, R.J. (eds.) The Nature of Reasoning. Cambridge University Press, Cambridge (2004)
Demetriou, A.: Cognitive development. In: Demetriou, A., Doise, W., van Lieshout, K.F.M. (eds.) Life-Span Developmental Psychology, pp. 179–269. Wiley, London (1998)
Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall, Upper Saddle River (2003)
Feeney, A., Heit, E.: Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, Cambridge (2007)
Sternberg, R.J., Mio, J.S.: Cognitive psychology. Wadsworth/Cengage Learning, Australia, Belmont, CA (2009)
Martin, C.B., Deutscher, M.: Remembering. Philosophical Review 75, 161–196 (1966)
Shoemaker, S.: Persons and their Pasts. American Philosophical Quarterly 7, 269–285 (1970)
Perner, J.: Memory and Theory of Mind. In: Tulving, E., Craik, F.I.M. (eds.) The Oxford Handbook of Memory, pp. 297–312. Oxford University Press, Oxford (2000)
Bernecker, S.: The Metaphysics of Memory. Springer, Berlin (2008)
Lagnado, D.A., Waldmann, M.R., Hagmayer, Y., Sloman, S.A.: Beyond Covariation: Cues to Causal Structure. In: gopnik, A.S., Laura (eds.) Causal learning: Psychology, Philosophy, and Computation, pp. 154–172. Oxford University Press, Inc., Oxford (2007)
Ezak, M.D., Howieson, D.B., Loring, D.W., Hannay, H.J., Fischer, J.S.: Neuropsychological Assessment, 4th edn. Oxford University Press, USA (2004)
Sun, R.: The CLARION cognitive architecture: Extending cognitive modeling to social simulation Cognition and Multi-Agent interaction. Cambridge University Press, New York (2006)
Faghihi, U., Fournier-Viger, P., Nkambou, R., Poirier, P.: A Generic Causal Learning Model for Cognitive Agent. In: The Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, IEA-AIE 2010 (2010)
Dubois, D., Gaha, M., Nkambou, R., Poirier, P.: Cognitive Tutoring System with "Consciousness". In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 803–806. Springer, Heidelberg (2008)
Faghihi, U., Fournier-Viger, P., Nkambou, R., Poirier, P.: A generic episodic learning model implemented in a cognitive agent by means of temporal pattern mining. In: Chien, B.-C., Hong, T.-P., Chen, S.-M., Ali, M. (eds.) IEA/AIE 2009. LNCS, vol. 5579, pp. 545–555. Springer, Heidelberg (2009)
Faghihi, U., Poirier, P., Dubois, D., Gaha, M.: A new emotional architecture for cognitive tutoring agents. In: Proc. FLAIRS 2008, pp. 445–446 (2008)
Baars, B.J.: In the Theater of Consciousness:The Workspace of the Mind. Oxford University Press, Oxford (1997)
Maes, P.: How to do the right thing. Connection Science 1, 291–323 (1989)
Faghihi, U., poirier, P., Fournier-Viger, P., Nkambou, R., Human-Like Learning in a Conscious Agent. Journal of Experimental & Theoretical Artificial Intelligence (2010) (in press)
Faghihi, U., Fournier-Viger, P., Nkambou, R., Poirier, P., Mayers, A.: How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent. Proceedings of the 2009 IEEE Symposium on Intelligent Agents (2009)
Nkambou, R., Belghith, K., Kabanza, F.: An Approach to Intelligent Training on a Robotic Simulator Using an Innovative Path-Planner. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 645–654. Springer, Heidelberg (2006)
Fournier-Viger, P., Wu, C.W., Tseng, V.S.: TRuleGrowth: Mining Sequential Rules Common to Multiple Sequences with Window Size Constraint. In: Proceedings of FLAIRS 2011, 6 pages. AAAI press, Menlo Park (2011) (in press)
Hipp, J., Güntzer, U., Nakhaeizadeh, G.: Data Mining of Association Rules and the Process of Knowledge Discovery in Databases. In: Industrial Conference on Data Mining, pp. 15–36 (2002)
Deogun, J., Jiang, L.: Prediction Mining – An Approach to Mining Association Rules for Prediction, pp. 98–108. Springer, Heidelberg (2005)
Li, D., Deogun, J.S.: Discovering Partial Periodic Sequential Association Rules with Time Lag in Multiple Sequences for Prediction, pp. 332–341. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Faghihi, U., Fournier-viger, P., Nkambou, R. (2011). Implementing an Efficient Causal Learning Mechanism in a Cognitive Tutoring Agent. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds) Modern Approaches in Applied Intelligence. IEA/AIE 2011. Lecture Notes in Computer Science(), vol 6704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21827-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-21827-9_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21826-2
Online ISBN: 978-3-642-21827-9
eBook Packages: Computer ScienceComputer Science (R0)