Abstract
In this article a model of the biological neuronal regulator system of the lower urinary tract is presented. The design and the implementation of the model has been carried out using distributed artificial intelligence, more specifically a system based on agents that carry out tasks of perception, deliberation and execution. The biological regulator is formed by neuronal centres. In the model, each agent is modeled so that its behaviour is similar to that of a neuronal centre. The use of the agent paradigm in the model confers it important properties: adaptability, distributed computing, modularity, synchronous or asynchronous functioning. This strategy also allows a complex systems approach formed by connected elements whose interaction is partially well-known. We have simulated and tested the model comparing results with clinical studies.
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References
Blok, B.F.M., Holstege, G.: The central control of micturition and continence: implications for urology. British Journal of Urology 83, 1–6 (1999)
Naoki Yoshimura, W.C.: de Groat: Neural Control of the Lower Urinary Tract. International Journal of Urology 4, 111–125 (1997)
Inatomi, Y., Itoh, Y., Fujii, N., Nakanishi, K.: The spinal cord descending pathway for micturition: analisis in patients with spinal cord infarction. Journal of Neurological Sciences 157, 154–157 (1998)
Hosein, R.A., Griffiths, D.: Neurourology and Urodynamics. Computer simulation of the Neural Control of Bladder and Urethra 9, 601–618 (1990)
van Duin, F., Rosier, P.F.W.M., Bemelmans, B.L.H., Wijkstra, H., Debruyne, F.M.J., Van Oosterom, A.: Comparison of Different Computer Models of the Neural Control System of the Lower Urinary Tract. Neurourology and Urodynamics 19, 289–310 (2000)
García, J.M., Maciá, F.: A Mobile Agent-based Model for a Node Regeneration System. In: International Conference on Knowledge Based Computer Systems (KBCS 2000) ,Mumbai, India, pp. 82–93 (2000)
Walsh, P.C.: Campbell Urologia. Panamericana (1994)
Micheli, F., Nogués, M.A., Asconapé, J.J., Pardal, M.M.F., Biller, J.: Tratado de Neurología Clínica. Panamericana, 222–234 (2002)
García, J.M., Romero, J., Maciá, F., Soriano, A.: Modelado y simulación del regulador neuronal del tracto urinario inferior. Urodinámica Aplicada 15(2) (2002)
Abrams, P., Blaivas, J.G., Stanton, S., Andersen, J.T.: The Standardisation of Terminology of Lower Urinary Tract Function. Neurourology and Urodynamics 7, 403–426 (1988)
William, C.: de Groat: Anatomy and Physiology of the Lower Urinary Tract. Urologic Clinics of North America 20(3), 383–401 (1993)
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 and Biochemistry 107, 203–222 (1999)
Soriano Payá, A.: Modelado y Simulación del Regulador Neuronal del Tracto Urinario Inferior. Doctoral Thesis (2001)
García Chamizo, J., Maciá Pérez, F., Soriano Payá, A., Ruiz Fernández, D.: Simulation of the Neuronal Regulador of the Coger Urinary Tract Using a Multiagent System. LNCS, vol. 2687, pp. 591–598. Springer, Heidelberg (2003)
Ruiz Fernández, D.: Modelo de regulación desatendida de sistemas biológicos. Caracterización y corrección de disfunciones neurógenas urinarias en humanos. Doctoral Thesis (2003)
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 (BSI 2002) ,Como, Italy, pp. 451–454 (2002)
le Feber, J., van Asselt, E., van Mastrigt, R.: Neurophysiological modelling of voiding in rats: urethral nerve response to urethral pressure and flow. American Journal Physiology 274, 1473–1481 (1998)
Genesereth, M.R., Nilsson, N.J.: Logical Foundations of Artificial Intelligence. Morgan Kaufmann, San Francisco (1987)
Maciá Pérez, F.: Modelos de administración de redes heterogéneas de computadores. Sistema de regeneración de nodos de red. Doctoral Thesis (2001)
Ferber, J.: An Introduction to Distributed Artificial Intelligence. Addison-Wesley, Reading (1999)
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Fernández, D.R., Chamizo, J.M.G., Pérez, F.M., Payá, A.S. (2004). Modeling the Distributed Control of the Lower Urinary Tract Using a Multiagent System. In: Torra, V., Narukawa, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2004. Lecture Notes in Computer Science(), vol 3131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27774-3_11
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DOI: https://doi.org/10.1007/978-3-540-27774-3_11
Publisher Name: Springer, Berlin, Heidelberg
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