Un sistema de fusión de datos para la simulación de escenarios críticos y la toma de decisiones

Palabras clave: Toma de decisiones, juegos de guerra, modelado y simulación, sistema crítico, simulación de desastres naturales

Resumen

El proceso de toma de decisiones (TD) en entornos críticos, es un proceso complejo que puede ser simulado gracias a las capacidades telemáticas actuales, que permiten interactuar con grandes cantidades de datos en tiempo real.  Este documento describe la arquitectura planteada desde un proceso de investigación, desarrollado del Centro de Desarrollo de Tecnología Aeroespacial de la FAC (CETAD), que permitió utilizando herramientas computarizadas, basados en conocimiento experto, crear un entorno en el que el decisor evalué sus opciones preparándose para eventos reales, simulando las características del proceso de TD en tiempo, recursos y estrategias en un entorno en tiempo real.

Este documento describe el producto de una investigación que dio como resultado  un sistema de simulación con una arquitectura basada que combina lógica difusa, algoritmos genéticos y árboles de decisiones  con los que se puede modelar  diversas entidades y su respuesta automática de acuerdo a los patrones y situaciones simuladas, en la que a través de operadores el decisor puede modificar las instrucciones para las entidades dentro de unas restricciones parametrizadas que obedecen a condiciones físicas.  También basado en técnicas de inteligencia de negocios, se generan informes para evaluar las decisiones tomadas. Este tipo de tecnologías mejora la capacidad de planificación y facilitar el proceso de toma de decisiones.

Este sistema permite simular cualquier despliegue de medios en el contexto de la seguridad nacional y eventos críticos. Así, se desarrolló un estudio de caso para la implementación de una simulación orientada al soporte en el escenario de un desastre natural.

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Agencias de apoyo:

Colciencias, FAC

Referencias bibliográficas

S. Jain, C. W. Hutchings, Y. T. Lee, and C. R. McLean, "A knowledge sharing framework for homeland security modeling and simulation," Proc. - Winter Simul. Conf., no. CI, pp. 3460-3471, 2010. https://doi.org/10.1109/WSC.2010.5679035

M. Naderpour, J. Lu, and G. Zhang, "An abnormal situation modeling method to assist operators in safety-critical systems," Reliab. Eng. Syst. Saf., vol. 133, pp. 33-47, 2015. https://doi.org/10.1016/j.ress.2014.08.003

H. H. Dreany and R. Roncace, "A Cognitive Architecture Safety Design for Safety Critical Systems," Reliab. Eng. Syst. Saf., vol. 191, p. 106555, 2019. https://doi.org/10.1016/j.ress.2019.106555

C. McLean, Y. T. Lee, S. Jain, C. Hutchings, and C. Hurchings, "Modeling and Simulation of Critical Infrastructure Systems for Homeland Security Applications," in NIST Special Publications, 2011, p. 86. https://doi.org/10.6028/NIST.IR.7785

M. Jain et al., "Software assistants for randomized patrol planning for the lax airport police and the Federal Air Marshal Service," Interfaces (Providence)., vol. 40, no. 4, pp. 267-290, 2010. https://doi.org/10.1287/inte.1100.0505

S. M. S. M. Rinaldi and R. H. Sprague, "Modeling and simulating critical infrastructures and their interdependencies," in 37th International Conference on System Sciences -, 2004, p. 8 pp. https://doi.org/10.1109/HICSS.2004.1265180

V. M. Bier, L. A. Cox, and M. N. Azaiez, "Why Both Game Theory and Reliability Theory Are Important in Defending Infrastructure against Intelligent Attacks," pp. 1-11, 2008. https://doi.org/10.1007/978-0-387-87767-9_1

G. Brown, M. Carlyle, J. Salmerón, and K. Wood, "Defending Critical Infrastructure," Interfaces (Providence)., vol. 36, no. 6, pp. 530-544, Dec. 2006. https://doi.org/10.1287/inte.1060.0252

Q. Feng, X. Bi, X. Zhao, Y. Chen, and B. Sun, "Heuristic hybrid game approach for fleet condition-based maintenance planning," Reliab. Eng. Syst. Saf., vol. 157, pp. 166-176, 2017. https://doi.org/10.1016/j.ress.2016.09.005

X. Tan, W. Wang, and M. Zhang, "Wargame system modeling and CLIPS-based rule description method," ICCASM 2010 - 2010 Int. Conf. Comput. Appl. Syst. Model. Proc., vol. 9, no. Iccasm, pp. 572-577, 2010. https://doi.org/10.1109/ICCASM.2010.5622968

S. M. S. M. Rinaldi, "Modeling and simulating critical infrastructures and their interdependencies," in 37th International Conference on System Sciences -, 2004, p. 8 pp. https://doi.org/10.1109/HICSS.2004.1265180

H. B. and M. K. Dewe, "TRENDS IN MODERN WAR GAMING," vol. 67, no. I, pp. 1-35, 2014.

M. Panteli and D. S. Kirschen, "Situation awareness in power systems: Theory, challenges and applications," Electr. Power Syst. Res., vol. 122, pp. 140-151, May 2015. https://doi.org/10.1016/j.epsr.2015.01.008

K. L. Plant and N. A. Stanton, "The development of the Schema-Action-World (SAW) taxonomy for understanding decision making in aeronautical critical incidents," Saf. Sci., vol. 99, pp. 23-35, 2017. https://doi.org/10.1016/j.ssci.2016.08.014

M. Hudson and P. Cairns, "The effects of winning and losing on social presence in team-based digital games," Comput. Human Behav., vol. 60, pp. 1-12, Jul. 2016. https://doi.org/10.1016/j.chb.2016.02.001

D. J. Olsher, "New Artificial Intelligence Tools for Deep Conflict Resolution and Humanitarian Response," Procedia Eng., vol. 107, pp. 282-292, 2015. https://doi.org/10.1016/j.proeng.2015.06.083

R. Kampf and E. Cuhadar, "Do computer games enhance learning about conflicts? A cross-national inquiry into proximate and distant scenarios in Global Conflicts," Comput. Human Behav., vol. 52, pp. 541-549, Nov. 2014. https://doi.org/10.1016/j.chb.2014.08.008

G.-C. A. Watts Frances, "Perspectiva histórica de simulación y juego como estrategia docente: de la guerra al aula," Ibérica, vol. 13, pp. 65-84, 2007.

J. W. Mastaglio, "Networked simulators and computer-supported wargame simulations," Conf. Proc. 1991 IEEE Int. Conf. Syst. Man, Cybern., pp. 303-307, 1991.

P. Louvieris, A. Gregoriades, and W. Garn, "Assessing critical success factors for military decision support," Expert Syst. Appl., vol. 37, no. 12, pp. 8229-8241, 2010. https://doi.org/10.1016/j.eswa.2010.05.062

E. M. Raybourn and M. E. Senglaub, "A development environment for operational concepts and systems engineering analysis.," 2004. https://doi.org/10.2172/918772

S. L. Snyder, "Efficient Xml Interchange (Exi) Compression And Performance Benefits:Development, Implementation And Evaluation," NAVAL POSTGRADUATE SCHOOL, 2010.

L. Dumitrache, Advances in Intelligent Control Systems and Computer Science. 2013. https://doi.org/10.1007/978-3-642-32548-9

P. I. 15th International Conference, HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013, Proceedings, "Human-Computer Interaction. Users and Contexts of Use," 2013.

J. Pita, M. Tambe, C. Kiekintveld, S. Cullen, and E. Steigerwald, "GUARDS - Game Theoretic Security Allocation on a National Scale Categories and Subject Descriptors," Int. Conf. Auton. https://doi.org/10.1017/CBO9780511973031.006

N. Ernest and D. Carroll, "Genetic Fuzzy based Artificial Intelligence for Unmanned Combat Aerial Vehicle Control in Simulated Air Combat Missions," J. Def. Manag., vol. 6, no. 1, 2016. https://doi.org/10.4172/2167-0374.1000144

N. D. Ernest, "Genetic Fuzzy Trees for Intelligent Control of Unmanned Combat Aerial Vehicles," no. February, 2015. https://doi.org/10.4172/2167-0374.1000139

E. Yadegari, M. Zandieh, and H. Najmi, "A hybrid spanning tree-based genetic/simulated annealing algorithm for a closed-loop logistics network design problem," Int. J. Appl. Decis. Sci., vol. 8, no. 4, p. 400, 2016. https://doi.org/10.1504/IJADS.2015.074612

D. Churchill, A. Saffidine, and M. Buro, "Fast Heuristic Search for RTS Game Combat Scenarios," 2012.

S. Gelly and D. Silver, "Monte-Carlo tree search and rapid action value estimation in computer Go," Artif. Intell., vol. 175, no. 11, pp. 1856-1875, Jul. 2011. https://doi.org/10.1016/j.artint.2011.03.007

C. B. Browne et al., "A Survey of Monte Carlo Tree Search Methods," IEEE Trans. Comput. Intell. AI Games, vol. 4, no. 1, pp. 1-43, Mar. 2012. https://doi.org/10.1109/TCIAIG.2012.2186810

J. Fischer, N. Falsted, M. Vielwerth, J. Togelius, and S. Risi, "Monte Carlo Tree Search for Simulated Car Racing," Proc. Found. Digit. Games Conf., pp. 2-6, 2015.

R. Battiti and A. Passerini, "Brain-computer evolutionary multiobjective optimization: A genetic algorithm adapting to the decision maker," IEEE Trans. Evol. Comput., vol. 14, no. 5, pp. 671-687, 2010. https://doi.org/10.1109/TEVC.2010.2058118

M. A. Clark and K. S. Rattan, "Hybrid representation of rule-based systems," pp. 287-288, 2015. https://doi.org/10.1145/2728606.2728649

A. Tolk, Ed., Engineering Principles of Combat Modeling and Distributed Simulation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. https://doi.org/10.1002/9781118180310

P. A. González-Calero and M. A. Gómez-Martín, "Artificial intelligence for computer games," Artif. Intell. Comput. Games, vol. 2009, pp. 1-200, 2011. https://doi.org/10.1007/978-1-4419-8188-2

R. Liu, J. Du, and R. R. Issa, "Cloud-based deep immersive game for human egress data collection: a framework," J. Inf. Technol. Constr., vol. 19, no. May, pp. 336-349, 2014.

A. Filippidis, R. Connel1, and V. Nedic, "Fourth International Confermcc on ktwwledgc?-E-Based Intelligent Engim'ng Systems &Allied Technologiff," vol. 30, pp. 321-324, 2000.

M. Lees, B. Logan, and G. Theodoropoulos, "Distributed simulation of agent-based systems with HLA," ACM Trans. Model. Comput. Simul., vol. 17, no. 3, p. 11-es, 2007. https://doi.org/10.1145/1243991.1243992

Yong Xie, Yong Meng Teo, Wentong Cai, and S. J. Turner, "Servicing Provisioning for HLA-Based Distributed Simulation on the Grid," no. September 2000, pp. 282-291, 2005.

S. Y. Diallo, R. Gore, J. J. Padilla, H. Kavak, and C. J. Lynch, "Towards a World Wide Web of Simulation," J. Def. Model. Simul., vol. 14, no. 2, pp. 159-170, Apr. 2017. https://doi.org/10.1177/1548512915621974

T. Lu and G. Wu, "The war-gaming training system based on HLA distributed architecture," Proc. - Int. Conf. Comput. Educ. ICCE 2002, pp. 889-893, 2002.

S. Z. S. Zhou, S. J. Turner, W. C. W. Cai, H. Z. H. Zhao, and X. P. X. Pang, "A utility model for timely state update in distributed wargame simulations," 18th Work. Parallel Distrib. Simulation, 2004. PADS 2004., 2004. https://doi.org/10.1145/1013329.1013347

R. Jayakanthan, "Application of computer games in the field of education," Electron. Libr., vol. 20, no. 2, pp. 98-102, Apr. 2002. https://doi.org/10.1108/02640470210697471

Armin Balalaie and Abbas Heydarnoori, "Microservices Architecture Enables DevOps Migration," Ieee Softw. |, vol. 11, pp. 42-52, 1960.

W. Tan, Y. Chai, W. Wang, and Y. Liu, "General modeling and simulation for enterprise operational decision-making problem: A policy-combination perspective," Simul. Model. Pract. Theory, vol. 21, no. 1, pp. 1-20, Feb. 2012. https://doi.org/10.1016/j.simpat.2011.09.008

N. Ernest, K. Cohen, E. Kivelevitch, C. Schumacher, and D. Casbeer, "Genetic Fuzzy Trees and their Application Towards Autonomous Training and Control of a Squadron of Unmanned Combat Aerial Vehicles," Unmanned Syst., vol. 3, no. 3, pp. 185-204, Jul. 2015. https://doi.org/10.1142/S2301385015500120

John E. CollinsElizabeth M. Sisley, "Computer implemented system for integrating active and simulated decisionmaking processes," Jun. 1995.

G. J. Summers, "Today's Business Simulation Industry," Simul. Gaming, vol. 35, no. 2, pp. 208-241, Jun. 2004. https://doi.org/10.1177/1046878104263546

D. Dean, P. Syms, K. Hynd, B. Mistry, and A. Vincent, "Modelling and simulation of combat ID - the INCIDER model," Proc. 2006 IEEE Symp. Comput. Intell. Games, CIG'06, vol. 6, pp. 156-163, 2007. https://doi.org/10.1109/CIG.2006.311695

J. Anderson, F. Zuluaga, J. A. F. Zuluaga, J. F. V. Bonilla, J. Anderson, and F. Zuluaga, "DETECTION OF CONVECTIVE CLOUDS USING METEOROLOGICAL DATA FUSION FOR AVIATION," in 2017 International Carnahan Conference on Security Technology (ICCST), 2017, pp. 1-8. https://doi.org/10.1109/CCST.2017.8167831

el tiempo.com, "Explicación de la emergencia de Hidroituango, mapas, videos y fotos - Medellín - Colombia - ELTIEMPO.COM." [Online]. Available: https://www.eltiempo.com/colombia/medellin/explicacion-de-la-emergencia-de-hidroituango-mapas-videos-y-fotos-219014. [Accessed: 08-Apr-2019].

taraza-A. Comite municipal de gestion de riesgo, "Municipio de Tarazá-Antioquia Plan Municipal de Gestión del Riesgo de Desastres," Taraza, 2018.

Cómo citar
Flórez Zuluaga, J. A., Patiño Carrasco, E., Ortega Pabón, J. D., Gallego León, K., & Quintero Montoya, O. L. (2019). Un sistema de fusión de datos para la simulación de escenarios críticos y la toma de decisiones. Ciencia E Ingeniería Neogranadina, 30(1), 89–106. https://doi.org/10.18359/rcin.4131
Publicado
2019-11-12
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