Abstract
The application of information technology in the field of biomedicine has become increasingly important over the last several years. This paper presents a multi-agent system that incorporates agents with automatic planning capabilities based on the CBP-BDI (Case Based Planning) (Belief, Desire, Intention) architecture. This agent proposes a new reasoning agent model mechanism that can model complex processes as external services. The agents act as Web services coordinators that implement the four stages of the case-based planning cycle. The multi-agent system has been implemented in a real scenario to classify leukemia patients. The results obtained are presented within this paper and demonstrate the effectiveness of the proposed organizational model.
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References
Riva, A., Carpentier, A.-S., Torrésani, B., Hénaut, A.: Comments on selected fundamental aspects of microarray analysis Comments on selected fundamental aspects of microarray analysis. Computational Biology and Chemistry 29(5), 319–336 (2005)
Lee, J.W., Lee, J.B., Park, M., Seuck Heun, S.: An extensive comparison of recent classification tools applied to microarray data. Computational Statistics & Data Analysis 48(4, 1), 869–885 (2005)
Stevens, R., McEntireb, G.C., Greenwooda, M., Zhaoa, J., Wipatc, A., Lic, P.: myGrid and the drug discovery process. Drug Discovery Today: BIOSILICO 2(4), 140–148 (2004)
Vittorini, P., Michettia, M., di Orio, F.: A SOA statistical engine for biomedical data. Computer Methods and Programs in Biomedicine 92(1), 144–153 (2008)
Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of The Grid: An Open Grid Services Architecture For Distributed Systems Integration. Technical Report of the Global Grid Forum (2002)
Sirin, E., Parsia, B., Wu, D., Hendler, J., Nau, D.: HTN planning for Web Service composition using SHOP2. Web Semantics: Science, Services and Agents on the World Wide Web 1(4), 377–396 (2004)
Riverola, F., Díaz, F., Corchado, J.M.: Gene-CBR: a case-based reasoning tool for cancer diagnosis using microarray datasets. Computational Intelligence 22(3-4), 254–268 (2006)
Glez-Bedia, M., Corchado, J.: A planning strategy based on variational calculus for deliberative agents. Computing and Information Systems Journal 10(1), 2–14 (2002)
Corchado, J.M., De Paz, J.F., Rogríguez, S., Bajo, J.: Model of experts for decision support in the diagnosis of leukemia patients. Artificial Intelligence in Medicine 46(3), 179–200 (2009)
De Paz, J.F., Rodríguez, S., Bajo, J., Corchado, J.M.: Mathematical model for dynamic case based planning. International Journal of Computer Mathematics 86, 1719–1730 (2009)
Fasli, M.: Interrelations between the BDI primitives: Towards heterogeneous agents. Cognitive Systems Research 4(1), 1–22 (2003)
Jonkera, C.M., Snoep, J.L., Treura, J., Westerhoff, H.V., Wijngaards, W.C.A.: BDI-modelling of complex intracellular dynamics. Journal of Theoretical Biology 251(1), 1–23 (2008)
Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian Network Classifiers. Machine Learning 29, 131–163 (1997)
De Paz, J.F., Rodríguez, S., Bajo, J.: Multiagent Systems in Expression Analysis. In: 7th International Conference on PAAMS 2009. Advances in Soft Computing Series, vol. 55, pp. 217–226 (2009)
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De Paz, J.F., Rubio, M.P., González, A. (2010). Dynamic Planning with Bayesian Network Applied in MAS. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_14
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DOI: https://doi.org/10.1007/978-3-642-12433-4_14
Publisher Name: Springer, Berlin, Heidelberg
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