Abstract
The neuronal regulators of biological systems are very difficult to deal with since they present nonstructured problems. The agent paradigm can analyze this type of systems in a simple way. In this paper, a formal agent-based framework that incorporates aspects such as modularity, flexibility and scalability is presented. Moreover, it enables the modeling of systems that present distribution and emergence characteristics. The proposed framework provides a definition of a model for the neuronal regulator of the lower urinary tract. Several examples of the experiment have been carried out using the model as presented, and the results have been validated by comparing them with real data. The developed simulator can be used by specialists in research tasks, in hospitals and in the field of education.
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References
Aström, K.J. (ed.): Control of Complex Systems. Springer, Heidelberg (2000)
Bastiaanssen, E.H.C., van Leeuwen, J.L., Vanderschoot, J., Redert, P.A.: A Myocybernetic Model of the Lower Urinary Tract. J. Theor. Biol. 178, 113–133 (1996)
van Duin, F., Rosier, P.F., Bemelmans, B.L., Wijkstra, H., Debruyne, F.M., van Oosterom, A.: Comparison of Different Computer Models of the Neural Control System of the Lower Urinary Tract. Neurourol Urodyn. 19, 203–222 (2000)
Soriano, A., García, J.M., Ibarra, F., Maciá, F.: Urodynamic Model of the Lower Urinary Tract. In: Proceedings of Computational Intelligence for Modelling, Control & Automation, pp. 123–128 (1999)
Valentini, F.A., Besson, G.R., Nelson, P.P., Zimmern, P.E.: A mathematical micturition model to restore simple flow recordings in healthy and symptomatic individuals and enhance uroflow interpretation. Neurourol Urodyn. 19, 153–176 (2000)
Ferber, J.: Multi-Agent Systems. An Introduction to Distributed Artificial Intelligence. Addison-Wesley, Reading (1999)
Maciá, F.: Modelos de Administración de Redes Heterogéneas de Computadores. Sistema de Regeneración de Nodos de Red. Thesis of University of Alicante (2000)
Soriano, A.: Modelado y Simulación del Regulador Neuronal del Tracto Urinario Inferior. Thesis of University of Alicante (2001)
Kinder, M.V., Bastiaanssen, E.H.C., Janknegt, R.A., Marani, E.: The Neuronal Control of the Lower Urinary Tract: A Model of Architecture and Control Mechanisms. Archives of Physiology 107, 203–222 (1999)
Micheli, F., Nogués, M.A., Asconapé, J.J., Pardal, M.M.F., Biller, J.: Tratado de Neurología Clínica. Ed. Panamericana (2002)
García, J.M., Soriano, A., Maciá, F., Ruiz, D.: Modelling of the Sacral Micturition Centre Using a Deliberative Intelligent Agent. In: Proceedings of the IV International Workshop on Biosignal Interpretation, pp. 451–454 (2002)
Salinas, J., Romero, J.: Urodinámica clínica. Aspectos básicos. Luzán 5, S.A. (2002)
Sotolongo, J.R.: Causes and treatment of neurogenic bladder dysfunction. In: Krane, R.J. et al (eds): Clinical Urology. J.B. Lippincott Company, pp. 558–568 (1994)
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Payá, A.S., Chamizo, J.M.G., Pérez, F.M. (2004). An Agent Based Framework for Modelling Neuronal Regulators of the Biological Systems. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds) MICAI 2004: Advances in Artificial Intelligence. MICAI 2004. Lecture Notes in Computer Science(), vol 2972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24694-7_38
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DOI: https://doi.org/10.1007/978-3-540-24694-7_38
Publisher Name: Springer, Berlin, Heidelberg
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