Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 915429, 27 pages
http://dx.doi.org/10.1155/2015/915429
Research Article

KD-ACP: A Software Framework for Social Computing in Emergency Management

Research Center of Computational Experiments and Parallel System Technology, College of Information System and Management, National University of Defense Technology, Changsha 410073, China

Received 4 June 2014; Accepted 23 August 2014

Academic Editor: Praveen Agarwal

Copyright © 2015 Bin Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. W. Mao and F.-Y. Wang, Advances in Intelligence and Security Informatics, Academic Press, Oxford, UK, 2012.
  2. E. Bonabeau, “Agent-based modeling: methods and techniques for simulating human systems,” Proceedings of the National Academy of Sciences of the United States of America, vol. 99, no. 3, pp. 7280–7287, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. K. M. Carley, D. B. Fridsma, E. Casman et al., “BioWar: scalable agent-based model of bioattacks,” IEEE Transactions on Systems, Man, and Cybernetics A: Systems and Humans, vol. 36, no. 2, pp. 252–265, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. J. M. Epstein, “Modelling to contain pandemics,” Nature, vol. 460, no. 7256, p. 687, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. Los Alamos National Laboratory Reports about EPISIMS, Los Alamos National Laboratory, 2003.
  6. C. H. Builder and S. C. Bankes, “Artificial societies: a concept for basic research on the societal impacts of information technology,” RAND Report 149, RAND Corp., 1991. View at Google Scholar
  7. F.-Y. Wang, “Computational theory and method on complex system,” China Basic Science, vol. 6, no. 5, pp. 3–10, 2004. View at Google Scholar
  8. F.-Y. Wang, “Toward a paradigm shift in social computing: the ACP approach,” IEEE Intelligent Systems, vol. 22, no. 5, pp. 65–67, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. F.-Y. Wang and S. Tang, “Artificial societies for integrated and sustainable development of metropolitan systems,” IEEE Intelligent Systems, vol. 19, no. 4, pp. 82–87, 2004. View at Publisher · View at Google Scholar · View at Scopus
  10. D. Wen, Y. Yuan, and X.-R. Li, “Artificial societies, computational experiments, and parallel systems: an investigation on a computational theory for complex socioeconomic systems,” IEEE Transactions on Services Computing, vol. 6, no. 2, pp. 177–185, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. F. Wang, F. Zeng, and Y. Yuan, “An ACP-based approach for complexity analysis of E-commerce system,” Complex Systems and Complexity Science, vol. 5, no. 3, pp. 1–8, 2008 (Chinese). View at Google Scholar
  12. F.-Y. Wang and P. K. Wong, “Research commentary: intelligent systems and technology for integrative and predictive medicine: an ACP approach,” ACM Transactions on Intelligent Systems and Technology, vol. 4, no. 2, pp. 1–6, 2013. View at Google Scholar
  13. J. Sifeng, X. Gang, F. Dong, and H. Chunpeng, “Study on the emergency rescue decision support system of petrochemical plant based on ACP theory,” in Proceedings of the 6th Management Annual Meeting (MAM '11), 2011, (Chinese).
  14. X. Dong, D. Fan, G. Xiong, F. Zhu, Z. Zhang, and Y. Yao, “Parallel Bus Rapid Transit (BRT) operation management system based on ACP approach,” in Proceedings of the 6th Management Annual Meeting (MAM '11), Beijing, China, 2011.
  15. B. Ning, F.-Y. Wang, H.-R. Dong, R.-M. Li, D. Wen, and L. Li, “Parallel systems for Urban rail transportation based on ACP approach,” Journal of Transportation Systems Engineering and Information Technology, vol. 10, no. 6, pp. 23–28, 2010 (Chinese). View at Google Scholar · View at Scopus
  16. F.-Y. Wang, J. Zhao, and S.-X. Lun, “Artificial power systems for the operation and management of complex power grids,” Southern Power System Technology, vol. 2, no. 3, pp. 1–11, 2008 (Chinese). View at Google Scholar
  17. M. J. North, T. R. Howe, N. T. Collier, and J. R. Vos, “Repast simphony development environment,” in Proceedings of the Agent 2005 Conference on Generative Social Processes, Models and Mechanisms, 2005.
  18. M. J. North, T. R. Howe, N. T. Collier, and J. R. Vos, “Repast Simphony runtime system,” in Proceedings of the Agent Conference on Generative Social Processes, Models and Mechanisms, 2005.
  19. SWARM Development Group. Swarm 2.1.1 Reference Guide, 2000, http://www.swarm.org.
  20. S. Tisue and U. Wilensky, “NetLogo: a simple environment for modeling complexity,” in International Conference on Complex Systems, pp. 16–21, 2004.
  21. S. Luke, C. Cioffi-Revilla, L. Panait, K. Sullivan, and G. Balan, “MASON: a multiagent simulation environment,” Simulation, vol. 81, no. 7, pp. 517–527, 2005. View at Publisher · View at Google Scholar · View at Scopus
  22. M. Ichikawa, H. Tanuma, Y. Koyama, and H. Deguchi, “SOARS: introduction as a social microscope for simulations of social interactions and gaming,” in Organizing and Learning through Gaming and Simulation. Proceedings of the 38th Conference of the International Simulation and Gaming Association (ISAGA '07), pp. 149–158, 2007.
  23. D. S. Burke, J. M. Epstein, D. A. T. Cummings et al., “Individual-based computational modeling of smallpox epidemic control strategies,” Academic Emergency Medicine, vol. 13, no. 11, pp. 1142–1149, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. F.-Y. Wang, “Parallel control and management for intelligent transportation systems: concepts, architectures, and applications,” IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 3, pp. 630–638, 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. Z. Molnár, D. Balasubramanian, and A. Lédeczi, “An introduction to the generic modeling environment,” in Proceedings of the TOOLS Europe 2007 Workshop on Model-Driven Development Tool Implementers Forum, Zurich, Switzerland, 2007.
  26. S. Kelly and J.-P. Tolvanen, Domain Framework, in Domain-Specific Modeling: Enabling Full Code Generation, John Wiley & Sons, Hoboken, NJ, USA, 2007.
  27. B. P. Zeigler, H. Praehofer, and T. G. Kim, Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems, Academic Press, San Diego, Calif, USA, 2000.
  28. G. Booch, J. Rumbaugh, and I. Jacobson, The Unified Modeling Language: User Guide, Addison-Wesley, Reading, Mass, USA, 1999.
  29. F. Wagner, R. Schmuki, T. Wagne, and P. Wolstenholme, Modeling Software with Finite State Machines: A Practical Approach, CRC & Taylor & Francis, Boca Raton, Fla, USA, 2006.
  30. T. Espiner, “China builds world's fastest supercomputer,” ZDNet UK, October 2010.
  31. B. Chen and G. Guo, “A two-tier parallel architecture for artificial society simulation,” in Proceedings of the ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (PADS '12), pp. 184–186, July 2012. View at Publisher · View at Google Scholar · View at Scopus
  32. G. Guo, B. Chen, X. G. Qiu, and Z. Li, “Parallel simulation of large-scale artificial society on CPU/GPU mixed architecture,” in Proceedings of the ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (PADS '12), pp. 174–177, July 2012. View at Publisher · View at Google Scholar · View at Scopus
  33. S.-X. Lun, “Research on the classification of parallel execution modes of ACP theory,” Acta Automatica Sinica, vol. 38, no. 10, pp. 1602–1608, 2012. View at Publisher · View at Google Scholar · View at Scopus
  34. F.-Y. Wang, “A framework for social signal processing and analysis: from social sensing networks to computational dialectical analytics,” Science China, vol. 43, no. 12, pp. 1598–1611, 2013. View at Google Scholar
  35. G. Guo, One Model User's Manual, version 1.2, National University of Defense University, 2011.
  36. Y. Ge, R. Meng, Z. Cao, X. Qiu, and K. Huang, “Virtual city—an individual-based digital environment for human mobility and interactive behavior,” Simulation: Transactions of the Society for the Modeling and Simulation International, 2014. View at Publisher · View at Google Scholar
  37. M. Kretzschmar and R. T. Mikolajczyk, “Contact profiles in eight European countries and implications for modelling the spread of airborne infectious diseases,” PLoS ONE, vol. 4, no. 6, Article ID e5931, 2009. View at Publisher · View at Google Scholar · View at Scopus
  38. W. Duan and X. Qiu, “Fostering artificial societies using social learning and social control in parallel emergency management systems,” Frontiers in Computer Science, vol. 6, no. 5, pp. 604–610, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  39. W. J. Edmunds, C. J. O'Callaghan, and D. J. Nokes, “Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections,” Proceedings of the Royal Society B: Biological Sciences, vol. 264, no. 1384, pp. 949–957, 1997. View at Publisher · View at Google Scholar · View at Scopus
  40. J. Banks, J. S. Carson, B. L. Neison, and D. M. Nicol, Discrete-Event System Simulation, Prentice Hall, Englewood Cliffs, NJ, USA, 4th edition, 2007.
  41. H. Yongxia, “Investigation and analysis of college students’ work and rest,” Value Engineering, vol. 31, no. 3, 2012 (Chinese). View at Google Scholar
  42. W. Duan, Z. Cao, Y. Wang et al., “An ACP approach to public health emergency management: using a campus outbreak of h1n1 influenza as a case study,” IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, vol. 43, no. 5, pp. 1028–1041, 2013. View at Publisher · View at Google Scholar · View at Scopus
  43. H. W. Hethcote, “The mathematics of infectious diseases,” SIAM Review, vol. 42, no. 4, pp. 599–653, 2000. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  44. G. Chowell, E. Shim, F. Brauer, and et al, “Modelling the transmission dynamics of acute haemorrhagic conjunctivitis: application to the 2003 outbreak in Mexico,” Statistics in Medicine, vol. 25, no. 11, pp. 1840–1857, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  45. Y. Ge, L. Liu, B. Chen, X. Qiu, and K. Huang, “Agent-based modeling for Influenza H1N1 in an artificial classroom,” Systems Engineering Procedia, vol. 2, pp. 94–104, 2011. View at Publisher · View at Google Scholar
  46. A. R. Tuite, A. L. Greer, M. Whelan et al., “Estimated epidemiologic parameters and morbidity associated with pandemic H1N1 influenza,” CMAJ, vol. 182, no. 2, pp. 131–136, 2010. View at Publisher · View at Google Scholar · View at Scopus
  47. L. Brouwers, B. Cakici, M. Camitz, A. Tegnell, and M. Boman, “Economic consequences to society of pandemic H1N1 influenza 2009—preliminary results for Sweden,” Euro Surveillance, vol. 14, no. 37, pp. 1–7, 2009. View at Google Scholar · View at Scopus
  48. Y. Ge, L. Liu, X. Qiu, H. Song, Y. Wang, and K. Huang, “A framework of multilayer social networks for communication behavior with agent-based modeling,” Simulation: Transactions of the Society for the Modeling and Simulation International, vol. 89, no. 7, pp. 810–828, 2013. View at Publisher · View at Google Scholar · View at Scopus
  49. W. Duan, X. Qiu, Z. Cao, X. Zheng, and K. Cui, “Heterogeneous and stochastic agent-based models for analyzing infectious diseases' super spreaders,” IEEE Intelligent Systems, vol. 28, no. 4, pp. 18–25, 2013. View at Publisher · View at Google Scholar · View at Scopus
  50. The Preparation and Emergency Response Plans to Pandemic Published by Ministry of Health, Ministry of Health, 2005, (Chinese).
  51. R. M. Fujimoto, Parallel and Distributed Simulation Systems, Wiley Interscience, 2000.
  52. F. Cicirelli, A. Giordano, and L. Nigro, “Distributed simulation of situated multi-agent systems,” in Proceedings of the 15th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT '11), pp. 28–35, September 2011. View at Publisher · View at Google Scholar · View at Scopus
  53. B. Chen and G. Guo, “A two-tier parallel architecture for artificial society simulation,” in Proceedings of the 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation (PADS '12), pp. 184–186, July 2012. View at Publisher · View at Google Scholar · View at Scopus
  54. G. Guo, B. Chen, and X. Qiu, “Parallel simulation of large-scale artificial society with GPU as coprocessor,” International Journal of Modeling, Simulation, and Scientific Computing, vol. 4, no. 2, Article ID 1350005, 2013. View at Publisher · View at Google Scholar · View at Scopus
  55. B. Chen, L.-B. Zhang, X.-C. Liu, and H. Vangheluwe, “Activity-based simulation using DEVS: increasing performance by an activity model in parallel DEVS simulation,” Journal of Zhejiang University: Science C, vol. 15, no. 1, pp. 13–30, 2014. View at Publisher · View at Google Scholar · View at Scopus
  56. X.-L. Wang, P. Yang, Z.-D. Cao et al., “Quantitative evaluation on the effectiveness of prevention and control measures against pandemic influenza A (H1N1) in Beijing, 2009,” Chinese Journal of Epidemiology, vol. 31, no. 12, pp. 1374–1378, 2010 (Chinese). View at Google Scholar · View at Scopus
  57. S. Mei, A. D. van de Vijver, L. Xuan, Y. Zhu, and P. M. A. Sloot, “Quantitatively evaluating interventions in the influenza A (H1N1) epidemic on China campus grounded on individual-based simulations,” Procedia Computer Science, vol. 1, no. 1, pp. 1675–1682, 2010. View at Publisher · View at Google Scholar
  58. X. Qiu, Z. Cao, and Z. Li, Mid-Term Reports of China National Science Foundation 91024030, 2014.