Abstract
Human behaviour must be described on the four levels known as policy, strategy, tactic, and operation. From the upper level (policy) to the lower (operation), the corresponding decision-making process goes through two successive contextualisations. At the first level, decision making has a fixed part (policy and strategy) and a dynamic part (tactic and operation), at the second level. Real-time aspects of decision making are on the dynamic part, i.e., in strong connection with the context in which an actor makes a real-time decision. We propose a modelling of real-time decision making by a contextual methodology that is composed of a series of 10 steps crossing the four levels. The aim is to support the self-training of actors to modify weaknesses of their behaviour during task realisation. The contextual methodology here proposes a unified framework on aspects that are generally contrasted – procedure versus practice, task versus activity, logic of functioning versus logic of use – and explains the two types of contextualisation in a context-oriented model with three layers. The contextual methodology has been applied in a road-safety domain (in which the car driver is continuously in a situation of real-time decision making) and is now used in another application in Open Source domain.
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References
Brézillon, P., “Task-realization models in Contextual Graphs,” in A. Dey, B. Kokinov, D. Leake, R. Turner (Eds.), Modeling and Using Context (CONTEXT-05), Springer, Berlin, LNCS 3554, 2005, pp. 55–68.
Brézillon, P., “Context modeling: Task model and model of practices,” in B. Kokinov et al. (Eds.), Modeling and Using Context (CONTEXT-07), Springer, Berlin, LNAI 4635, 2007, pp. 122–135
Brézillon, J., “Context-based learning for improving decision making in a driving activity,” Revue d’Intelligence Artificielle, RSTI-RIA-23/2009, Human-Centered Processes, 2009, pp. 539–553.
Brézillon, J. and P. Brézillon, “Context modeling: Context as a dressing of a focus,” in B. Kokinov et al. (Eds.), Modeling and Using Context (CONTEXT-07), Springer, Berlin, LNAI 4635, 2007, pp. 136–149.
Brézillon, P. and J. Brézillon, “Contextualized task modelling,” Revue d’Intelligence Artificielle, Vol. 22, No. 5, 2008, pp. 531–548.
Brézillon, P. and J.-C. Pomerol, “Contextual knowledge sharing and cooperation in intelligent assistant systems,” Le Travail Humain, PUF, Paris, Vol. 62, No. 3, 1999, pp. 223–246.
Canton, L.G., Emergency Management: Concepts and Strategies for Effective Programs. Wiley, New York, 2007.
Clausewitz, C., On War, Translation by J.J. Graham, 1873. URL = http://www.clausewitz.com/index.htm.
Hatakka, M., E. Keskinen and S. Laapotti, “Professional and private driver training in Finland – Evaluation of results,” International Conference on Traffic and Transport Psychology, Handbook of paper and poster presentations in short version, Valencia, May 22–25, 1996.
Henricksen, K. and J. Indulska, “Developing context-aware pervasive computing applications: Models and approach,” Pervasive and Mobile Computing Journal, Vol. 2, No. 1, 2005, pp. 37–64.
Leplat, J. and J.M. Hoc, “Tâche et activité dans l’analyse psychologique des situations,” Cahiers de Psychologie Cognitive, Vol. 3, 1983, pp. 49–63.
McCarthy, J., “Notes on formalizing context,” in Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI), Vol. 1, 1993, pp. 555–560.
Neto, R.F. and M.G.C. Pimentel, “Toward a domain-independent semantic model for context-aware computing,” in Proceedings of the 3rd IW3C2 Latin American Web Congress, IEEE Computer Society, Buenos Aires, 2005, pp. 61–70.
Pomerol, J.-Ch., Brézillon, P. and Pasquier, L., “Operational knowledge representation for practical decision making,” Journal of Management Information Systems, Vol. 18, No. 4, 2002, pp. 101–116
Power, R., “Topic maps for context management,” in Proceedings of the 1st International Symposium on Information and Communication Technologies – Workshop on Adaptive Systems for Ubiquitous Computing, Dublin, 2003, pp. 199–204.
Richard, J.F., Logique du fonctionnement et logique de l’utilisation, Rapport de Recherche, INRIA, No. 202, 1983.
Vieira, V., P. Tedesco, A.C. Salgado and P. Brézillon, “Investigating the specifics of contextual elements management: The CEManTIKA approach,” in B. Kokinov et al. (Eds.), Modeling and Using Context (CONTEXT-07), Springer, Berlin, LNAI 4635, 2007, pp. 493–506.
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Brézillon, P. (2011). A Contextual Methodology for Modelling Real-Time Decision-Making Support. In: Burstein, F., Brézillon, P., Zaslavsky, A. (eds) Supporting Real Time Decision-Making. Annals of Information Systems, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7406-8_4
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DOI: https://doi.org/10.1007/978-1-4419-7406-8_4
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