Abstract
The experience of experts relies on the process of decision-making jointly with the progressive elaboration of a context-specific model. However, context modeling generally stays implicit because only the result of the decision-making process matters. Modeling context within a decision-making process supposes a uniform representation of knowledge, reasoning and contexts. In the Contextual-Graphs formalism, a decision-making episode is represented as a contextual graph where each path represents a practice developed by actors for making this decision in a specific working context. By incremental accumulation of the practices developed by experts, a contextual graph becomes an experience base with the decision-making process. Such an experience base may be used by humans for training future experts how to behave in the different ways to make a decision according to the variants of the working context. An intelligent assistant system exploiting such an experience base will be able to propose a more effective support to users than previous knowledge-based systems. This work is realized in the framework of a project in medicine for supporting experts in breast cancer diagnosis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Attieh, E., Calvo, J., Brezillon, P., Capron, F.: Modélisation informatisée des étapes d’un examen anatomo-cyto-pathologique: “Graphes contextuels”. 36es Assises de Pathologie Versailles, Mai 23-24 (2013)
Atzmueller, M.: Experience Management with Task-Configurations and Task-Patterns for Descriptive Data Mining. KESE (2007), http://ceur-ws.org/Vol-282/02-AtzmuellerM-KESE-Paper-CRC.pdf
Brézillon, J., Brézillon, P.: Context modeling: Context as a dressing of a focus. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds.) CONTEXT 2007. LNCS (LNAI), vol. 4635, pp. 136–149. Springer, Heidelberg (2007)
Brézillon, P.: Context modeling: Task model and practice model. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds.) CONTEXT 2007. LNCS (LNAI), vol. 4635, pp. 122–135. Springer, Heidelberg (2007)
Brézillon, P.: Explaining for Contextualizing and Contextualizing for Explaining. In: Proc. of 3rd International Workshop on Explanation-aware Computing ExaCt 2008. CEUR Workshop Proceedings (2008) ISSN 1613-0073, CEUR-WS.org/Vol-391/00010001.pdf
Brezillon, P.: Contextualization of scientific workflows. In: Beigl, M., Christiansen, H., Roth-Berghofer, T.R., Kofod-Petersen, A., Coventry, K.R., Schmidtke, H.R. (eds.) CONTEXT 2011. LNCS, vol. 6967, pp. 40–53. Springer, Heidelberg (2011)
Brézillon, P.: A context-centered architecture for intelligent assistant systems. In: Faucher, C., Jain, L. (eds.) Recent Advances in Knowledge Engineering: Paradigms and Applications. SCI, vol. 514. Springer (to appear, 2013)
Clancey, W.J.: Viewing knowledge bases as qualitative models. IEEE Expert: Intelligent Systems and Their Applications 4(2), 9–23 (1989)
Clancey, W.J.: Simulating Activities: Relating Motives, Deliberation, and Attentive Coordination. Cognitive Systems Research 3(3), 471–499 (2002)
Fan, X.: Context-oriented scientific worlflow and its application in medicine. Ph.D. Thesis, University Pierre and Marie Curie, Paris, France (2011)
Karsenty, L., Brézillon, P.: Cooperative problem solving and explanation. Expert Systems with Applications 8(4), 445–462 (1995)
Kodratoff, Y.: Is artificial intelligence a subfield of computer science or is artificial intelligence the science of explanation? In: Bratko, I., Lavrac, N. (eds.) Progress in Machine Learning, pp. 91–106. Sigma Press, Cheshire (1987)
Leplat, J., Hoc, J.M.: Tâche et activité dans l’analyse psychologique des situations. Cahiers de Psychologie Cognitive 3, 49–63 (1983)
Mille, A.: From case-based reasoning to traces-based reasoning. Annual Reviews in Control 30, 223–232 (2006)
PRC-GDR. Actes des 3e journées nationales PRC-GDR IA organisées par le CNRS (1989)
Richard, J.F.: Logique du fonctionnement et logique de l’utilisation. Rapport de Recherche INRIA no 202 (1983)
Schank, R.C.: Dynamic memory, a theory of learning in computers and people. University Press, Cambridge (1983)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Brézillon, P. (2013). Context-Based Development of Experience Bases. In: Brézillon, P., Blackburn, P., Dapoigny, R. (eds) Modeling and Using Context. CONTEXT 2013. Lecture Notes in Computer Science(), vol 8175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40972-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-40972-1_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40971-4
Online ISBN: 978-3-642-40972-1
eBook Packages: Computer ScienceComputer Science (R0)