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蓄意致灾情景下的应急信息策略 被引量:1

Emergency information disclosure strategies in situations with intentional threats
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摘要 蓄意致灾事件的应急决策往往是在信息不对称的复杂情景下进行的,研究应急信息策略对辅助应急决策具有重要意义。该文考虑蓄意致灾者和应急决策者的决策相互作用,建立动态不完全信息博弈模型描述双方冲突,讨论了资源约束和信息成本对均衡的影响,并利用基于主体的仿真进行了验证。结果表明:信息策略在很大程度上影响致灾者的行动选择;应急决策者通过合理的策略隐藏关键信息,能够有效降低期望损失。应急决策者可以通过"情景—学习—应对"的决策模式获得最优策略,实现对蓄意致灾事件的有效诱导和干预。 Emergency decisions in the face of intentional threats are usually made in complex situations with asymmetric information. The emergency information disclosure strategy then becomes an important issue supporting decision-making. The interactions of the strategies of the attacker and the government are modeled as conflict in a dynamic game with imperfect information. The model illustrates the impact of the limited resources and the cost of information on the game equilibrium. This model was validated with agent-based simulations. The results show that the information disclosure strategy greatly impacts the actions of adversaries and that appropriate strategies of emergency decision-makers can reduce the losses expected by intentional attacks. An adaptive information disclosure strategy, learned from repeated games by the emergency decision-maker, is effective for mitigating intentional threats.
出处 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2010年第8期1163-1167,共5页 Journal of Tsinghua University(Science and Technology)
基金 国家自然科学基金资助项目(70973063 70833003)
关键词 应急决策 信息策略 蓄意致灾 多主体仿真 emergency decision making information strategy intentional threat agent-based simulation
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参考文献15

  • 1Harris B. Mathematical methods in combatting terrorism [J]. Risk Analysis, 2004, 24(4) : 985 - 988.
  • 2Arce D G, Sandier T. Counterterrorism; A game-theoretic analysis [J]. Journal of Conflict Resolution, 2005, 49(2) 183 - 200.
  • 3Golany B, Kaplan E H, Marmur A, et al. Nature plays with dice: Terrorists do not: Allocating resources to counter strategic versus probabilistic risks [J]. European Journal of Operational Research, 2009, 192(1) : 198 - 208.
  • 4Major J A. Advanced techniques for modeling terrorism risk [J]. The Journal of Risk Finance, 2002, 4(1) : 15 - 24.
  • 5Bier V M, Nagaraj A, Abhichandani V. Protection of simple series and parallel systems with components of different values [J]. Reliability Engineering and System Safety, 2005, 87(3): 313-323.
  • 6Bier V M. Choosing what to protect: Strategic defensive allocation against an unknown attacker [J]. Risk Analysis, 2007, 27(3): 607-620.
  • 7Levitin G. Optimal defense strategy against intentional attacks [J]. IEEE Transactions on Reliability, 2007, 56(1) : 148 - 157.
  • 8Levitin G, Ben-Haim H. Importance of protections against intentional attacks [J]. Reliability Engineering & System Safety, 2008, 93(4) : 639 - 646.
  • 9Hausken K. Strategic defense and attack for series and parallel reliability systems [J]. European Journal of Operational Research, 2008, 186(2): 856-881.
  • 10Hausken K, Levitin G. Minmax defense strategy for complex multi-state systems [J]. Reliability Engineering & System Safety, 2009, 94(2) : 577 - 587.

二级参考文献8

  • 1KEET C M.Terrorism and game theory[D].Ireland:University of Limerick,2003.
  • 2MAJOR J A.Advanced techniques for modeling terrorism risk[J].Journal of Risk Finance,2002,4(1):15-24.
  • 3WOO G.Quantitative terrorism risk assessment[J].Journal of Risk Finance,2002,4(1):7-14.
  • 4BIER W,ABHICHANDANI V.Optimal allocation of resources for defense of simple series and parallel systems from determined adversaries[J].Decision Analysis Society,2003,5(2):59-76.
  • 5BANKS D L,ANDERSON S.Combining game theory and risk analysis in counter-terrorism:a smallpox example[R].ASA-SIAM Monograph Statistics and Counterterrorism,2005.
  • 6HAUSKEN K.Probabilistic risk analysis and game theory[J].Risk Analysis,2002,22(1):17-27.
  • 7POWERS M R.The terror of the “Black Box”[J].Journal of Risk Finance,2005,6(4):292-293.
  • 8SHI Xiquan(施锡铨).Game theory (博弈论)[M].Shanghai:Shanghai University of Finance & Economics Press,2000.

共引文献25

同被引文献15

  • 1祁明亮,池宏,赵红,孙颖.突发公共事件应急管理研究现状与展望[J].管理评论,2006,18(4):35-45. 被引量:103
  • 2刘军.法村社会支持网络的整体结构研究块模型及其应用[J].社会,2006,26(3):69-80. 被引量:39
  • 3Paul S., Neville S., Dan J., et al. Coordination During Multi-agency Emergency Response: Issues and Solutions[J]. Disaster Prevention and Management, 2011,20(2):140-158.
  • 4Netten N., Van S. M. Improving Communication in Crisis Management by Evaluating the Relevance of Messages[J]. Journal of Contingencies and Crisis Management, 2011,19(2):75-85.
  • 5Gursans G., Esin E. Identification of Local Information Items Needed During Search and Rescue Following An Earthquake[J]. Disaster Prevention and Management, 2011,20(5):458-472.
  • 6Quarantelli E. L. Disaster Crisis Management: A Summary Of Research Findings[J]. Journal of Management Studies, 1988,25(4):373-385.
  • 7Emmanuel R., Per B. Multi-organizational Coordination for Disaster Recovery: The Story of Post-tsunami Tamil Nadu, India[J]. International Journal of Disaster Risk Reduction, 2013,4(7):82-91.
  • 8Nolte I. M., Boenigk S. Public-Nonprofit Partnership Performance in A Disaster Context: The Case Of Haiti[J]. Public Administration, 2011,89(4):1385-1402.
  • 9Paul C., Van F. National Crisis Response Networks (NCRN) and Military Organizations: Revisiting the Katrina Case[M]. Bradford: Emerald Group Publishing Limited, 2012.
  • 10Palttala P., Boano C., Lund R., et al. Communication Gaps in Disaster Management: Perceptions by Experts from Governmental and Non-Governmental Organizations[J]. Journal of Contingencies and Crisis Management, 2012,20(1):1-12.

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