Agent-based simulation for large-scale emergency response: A survey of usage and implementation

ACM Computing Surveys

Volumn 45, Issue 1, 2012, Pages

  Hawe, Glenn I ^a   Coates, Graham ^a   Wilson, Duncan T ^a   Crouch, Roger S ^a  

^a DURHAM UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING;

AGENT BASED SIMULATION; COURSE OF ACTION; EMERGENCY RESPONSE; IN-SILICO; LARGE-SCALE EMERGENCY;

EMERGENCY SERVICES;

EID: 84871249755     PISSN: 03600300     EISSN: 15577341     Source Type: Journal    
DOI: 10.1145/2379776.2379784     Document Type: Review

References (229)

1. Akin, H. L., Yilmaz, O., and Sevim, M. M. 2010. Roboakut 2010 Rescue Simulation League Agent Team Description. http://Roborescue.Sourceforge.Net/ 2010/Tdps/Agents/Roboakut.Pdf.
2. Alexandrescu, A. 2001. Modern C++ Design: Generic Programming and Design Patterns Applied. Addison Wesley.
3. Allan, R.J. 2010. Survey of Agent Based Modeling and Simulation Tools. Tech. Rep. Dl-Tr-2010-007, Computational Science and Engineering Department, Stfc Daresbury Laboratory.
4. Amouroux, E., Chu, T., Boucher, A., and Drogoul, A. 2009. Gama: An Environment For Implementing and Running Spatially Explicit Multi-Agent Simulations. Lecture Notes in Artificial Intelligence 5044, 359-371.
5. An, V. D. 2008. Implantation Des Protocoles De Communication Fipa Dans La Plate-Forme Gama. M.S. thesis, L'institut De La Francophonie Pour L'informatique.
6. Antoniotti, M., Park, F., Policriti, A., Ugel, N., and Mishra, B. 2003. Foundations of A Query and Simulation System For the Modeling of Biochemical and Biological Processes. in Proceedings of the Pacific Symposium of Biocomputing (Psb03).
7. Arcgis. 2010. Arcgis: A Complete Integrated System. http://www.Esri.Com/ Software/Arcgis/Index.html.
8. Au-Yeung, S. W. M., Harrison, P. G., and Knottenbelt, W. J. 2006. A Queueing Network Model of Patient Floww in An Accident and Emergency Department. in Proceedings of the 20th Annual European and Simulation Modeling Conference, 60-67.
9. Australian Government Department of Defence. 2005. Simulation Verification, Validation and Accreditation Guide. Tech. Rep., Australian Defence Simulation office Department of Defence, Canberra.
10. Axtell, R., Axelrod, R., Epstein, J., and Cohen, M. 1996. Aligning Simulation Models: A Case Study and Results.Comput. Math.organization theory 1, 2, 123-141.
11. Baker, S., O'neill, B. W. H., Jr., and Long, W. 1974. the Injury Severity Score: A Method For Describing Patients With Multiple Injuries and Evaluating Emergency Care. J. Trauma 14, 3, 187-196.
12. Balci, O. 1997. Verification, Validation and Accreditation of Simulation Models. in Proceedings of the 1997 Winter Simulation Conference, S. andradottir Et Al., Eds., 135-141.
13. Barrett, C. L., Eubank, S. G., and Smith, J. P. 2005. If Smallpox Strikes Portland . . . . Sci. Am. 292, 3, 42-49.
14. Bbc. 2009. Egypt Slaughters Pigs To Stop Flu. http://News.Bbc.Co.Uk/1/Hi/ 8024946.Stm.
15. Beck, K. and andres, C. 2004. Extreme Programming Explained: Embrace Change. Addison Wesley.
16. Berren, M. R., Beigel, A., and Ghertner, S. 1980. A Typology For the Classification of Disasters.Community Mental Health J. 16, 2, 103-111.
17. Bharath, G. K. and Silverman, B. G. 2010. Validating Agent Based Social Systems Models. in Proceedings of the 2010 Winter Simulation Conference, B. Johansson Et Al., Eds.
18. Bledsoe, B.,Wesley, A., Eckstein, M., Dunn, T., and O'keefe, M. 2006. Helicopter Scene Transport of Trauma Patients With Nonlife-Threatening Injuries: A Meta-Analysis. J. Trauma 60, 6, 1257.
19. Bledsoe, B. E. 2007. Myths of Modern Ems. http://www.Bryanbledsoe.Com/ Data/Pdf/Handouts/Powerpoint/Mythsofmodernems(Revised).Ppt.
20. Bonabeau, E. 2002. Agent-Based Modeling: Methods and Techniques For Simulating Human Systems. in Proceedings of the National Academy of Sciences 99, 7280-7287.
21. Boucher, A., Canal, R., Chu, T., Drogoul, A., Gaudou, B., Le, V., Moraru, V., Van Nguyen, N., Vu, Q., Taillandier, P., Et Al. 2009. the Around Project: Adapting Robotic Disaster Response To Developing Countries. in Proceedings of the 2009 Ieee International Workshop on Safety, Security & Rescue Robotics (Ssrr), Ieee, Washington, D.C., 1-6.
22. Branke, J., Deb, K., Dierolf, H., and Osswald, M. 2004. Finding Knees in Multi-Objective Optimization. in Parallel Problem Solving From Nature (Ppsn Viii), Springer, Berlin, 722-731.
23. Bratman, M. E., Isreal, D. J., and Pollack, M. E. 1988. Plans and Resource-Bounded Practical Reasoning.Comput. Intell. 4, 349-355.
24. Brenner, M.,Wijermans, N., Nussle, T., and De Boer, B. 2005. Simulating and Controlling Civilian Crowds in Robocup Rescue. in Proceedings of Robocup 2005.
25. Brown, D., Riolo, R., Robinson, D., North, M., and Rand, W. 2005. Spatial Process and Data Models: Toward Integration of Agent-Based Models and Gis. J. Geographical Syst. 7, 1, 25-47.
26. Burke, E. and Hendry, C. 1997. Decision Making on the London Incident Ground: An Exploratory Study. J. Manage. Psychol. 12, 1, 40-47.
27. Carley, K. M., Altman, N., Kaminsky, B., Nave, D., and Yahja, A. 2004. Biowar: A City-Scale Multi-Agent Network Model of Weaponized Biological Attacks. Tech. Rep. Cmu-Isri-04-101, Carnegie Mellon University.
28. Carley, K. M., Fridsma, D. B., Casman, E., Yahja, A., Altman, N., Chen, L.-C., Kaminsky, B., and Nave, D. 2006. Biowar: Scalable Agent-Based Model of Bioattacks. Ieee Trans. Syst. Man Cybern., Part A: Syst. Humans 36, 2, 252-265.
29. Castelfranchi, C. 2010. Bye-Bye Agents? Not. Ieee Internet Comput. 14, 2, 93-96.
30. Castle, C. J. E. and Crooks, A. T. 2006. Principles and Concepts of Agent-Based Modeling For Developing Geospatial Simulations. Tech. Rep. Paper 110, Centre For Advanced Spatial Analysis, University College London. Sept.
31. Challenger, R., Clegg, C. W., and Robinson, M. A. 2009A. Understanding Crowd Behaviors: Guidance and Lessons Identified. U.K. Cabinet office.
32. Challenger, R., Clegg, C. W., and Robinson, M. A. 2009B. Understanding Crowd Behaviors: Simulation Tools. U.K. Cabinet office.
33. Chen, F., Zhai, Z., and Madey, G. 2011. Dynamic Adaptive Disaster Simulation: Developing A Predictive Model of Emergency Behavior Using Cell Phones and Gis Data. in Proceedings of Springsim 2011.
34. Chen, L., Kaminsky, B., Tummino, T., Carley, K., Casman, E., Fridsma, D., and Yahja, A. 2004. Aligning Simulation Models of Smallpox Outbreaks. in Proceedings of the 2Nd Symposium on Intelligence and Security Informatics, Springer, 1-16.
35. Chu, T., Drogoul, A., Boucher, A., and Zucker, J. 2009. Interactive Learning of Independent Experts Criteria For Rescue Simulations. J. Universal Comput. Sci. 15, 13, 2701-2725.
36. Chu, T.-Q., Boucher, A., Drogoul, A., Vo, D.-A., Nguyen, H.-P., and Zucker, J.-D. 2008. Interactive Learning of Expert Criteria For Rescue Simulations. Lecture Notes in Artificial Intelligence 5357, Springer, Berlin, 127-138.
37. Collier, N. andnorth, M. 2011. Repast Hpc: A Platform For Large-Scale Agent-Based Modeling. in Large-Scale Computing Techniques For Complex System Simulations, W. Dubitzky Et Al., Eds., Wiley, 81-1100
38. Connelly, L. G. and Bair, A. E. 2004. Discrete Event Simulation of Emergency Department Activity: A Platform For System-Level Operations Research. Acad. Emergency Med. 11, 11, 1177-1185.
39. Crook, P. 2010. Exercise Orion- Practical Planning. Fire Magazine, 32-33.
40. Crooks, A. 2008. Constructing and Implementing An Agent-Based Model of Residential Segregation Through Vector Gis. Tech. Rep. 133, Centre For Advanced Spatial Analysis, University College London. April.
41. Crooks, A., Castle, C., and Batty, M. 2008. Key Challenges in Agent-Based Modeling For Geo-Spatial Simulation.Comput.Environ. Urban Syst. 32, 6, 417-430.
42. Crooks, A. T. 2007. the Repast Simulation/Modeling System For Geospatial Simulation. Tech. Rep. Paper 123, Centre For Advanced Spatial Analysis, University College London. Sept.
43. Da Silva, M. L., Kostakos, V., and Matsumoto, M. 2008. Improving Emergency Response To Mass Casualty Incidents. in Proceedings of the Sixth Annual Ieee International Conference on Pervasive Computing and Communications, Ieee, Washington, D.C., 256-259.
44. Darema, F. 2004. Dynamic Data Driven Applications Systems: A New Paradigm For Application Simulations and Measurements. Lecture Notes in Computer Science 3038, Springer, Berlin, 662-669.
45. De andrade, P. R., Monteiro, A. M. V., and Camara, G. 2008. Entities and Relations For Agent-Based Modeling of Complex Spatial Systems. in Proceedings of the First Brazilianworkshop on Social Simulations. 52-63.
46. De Boer, J. 1990. Definition and Classification of Disasters: Introduction To A Disaster Severity Scale. J. Emergency Med. 8, 591-595.
47. De Halleux, J. 2003. Metaagent: A Steering Behavior Template Library. http://www.Codeproject.Com/Kb/Library/Metaagent.Aspx.
48. Department of Defense. 2009. Dod Modeling and Simulation (M&S) Verification, Validation, and Accreditation. http://www.Dtic.Mil/Whs/Directives/ Corres/Pdf/500061P.Pdf.
49. Der Heide, E. A. 2006. the Importance of Evidence-Based Disaster Planning. Ann. Emergency Med. 47, 1, 34-49.
50. Dijkstra, E. 1959. A Note on Two Problems in Connextion With Graphs. Numerische Mathematik 1, 1, 269- 271.
51. Dombrowsky, W. R. 1995. Again and Again: Is A Disaster What We Call "Disaster"? Some Conceptual Notes on Conceptualizing the Object of Disaster Sociology. Int. J. Mass Emergencies Disasters 13, 3, 241-254.
52. Drogoul, A., Vanbergue, D., and Meurisse, T. 2003. Multi-Agent Based Simulation: Where Are the Agents? Lecture Notes in Computer Science 2581, Springer, Berlin, 1-15.
53. Duong, D. 2010. Verification, Validation, and Accreditation (Vv&A) of Social Simulations. in Spring Simulation Interoperability Workshop
54. Epstein, J. M. 2009. Modeling To Contain Pandemics. Nature 460, 687.
55. Epstein, J. M. and Axtell, R. 1996. Growing Artificial Societies. Brookings Institution Press.
56. Esri. 1998. Esri Shapefile Technical Description. http://www.Esri.Com/ Library/Whitepapers/Pdfs/Shapefile. Pdf.
57. Eubank, S. 2002. Scalable, Efficient Epidemiological Simulation. in Proceedings of the 2002 Acm Symposium on Applied Computing, 139-145.
58. Fave, F. M. D., Packer, H., Pryymak, O., Stein, S., Stranders, R., Tran-Thanh, L., Vytelingum, P., Williamson, S. A., and Jennings, N. R. 2010. Rescue Simulation League Team Description Iamrescue. http://Roborescue. Sourceforge.Net/2010/Tdps/Agents/Iamrescue.Pdf.
59. Fema. 2007. National Preparedness Guidelines. http://www.Fema.Gov/Pdf/ Government/Npg.Pdf.
60. Fema. 2011. Federal Emergency Management Agency. http://www.Fema.Gov/ Hazard/Types.Shtm.
61. Ferguson, N., Keeling, M., Edmunds, W., Gani, R., Grenfell, B., anderson, R., and Leach, S. 2003. Planning For Smallpox Outbreaks. Nature 425, 6959, 681-685.
62. Finkel, R. A. and Bentley, J. L. 1974. Quad Trees: A Data Structure For Retrieval on Composite Keys. Acta Informatica 4, 1-9.
63. Fischer, H. W., Iii. 2003. the Sociology of Disaster: Definitions, Research Questions, Measurements in A Post-September 11, 2001 Environment. Presented At the Annual Meeting of the American Sociological Association.
64. Floyd, R. W. 1962. Algorithm 97: Shortest Path.Commun. Acm 5, 6, 345.
65. Franklin, S. and Graesser, A. 1997. Is It An Agent, Or Just A Program?: A Taxonomy For Autonomous Agents. Lecture Notes in Computer Science 1193, Springer, Berlin, 21-35.
66. Freeman, E. T., Robson, E., Bates, B., and Sierra, K. 2004. Head First Design Patterns. O'reilly Media.
67. Fujimoto, R. M. 2000. Parallel and Distributed Simulation Systems. Wiley.
68. Gad-El-Hak, M. 2009. the Art and Science of Large-Scale Disasters. Bull. Polish Acad. Sci. Tech. Sci. 57, 1, 3-34.
69. Gamma, E., Helm, R., Johnson, R., and Vlissides, J. 1994. Design Patterns: Elements of Reusable Object- Oriented Software. Addison-Wesley.
70. Gaume , F., Fallet, B., Ferrand, N., and Chastel, J.-M. 1999. Aide Au D Eveloppement Durable Des Territoires: Approche Muli-Agents Pour Un Modele Enjeux/Acteurs. in Modeles Et Systems Multi-Agents Pour La Gestion De L'environment Et Des Territoires, N. Ferrand, Ed., Cemagraf, Paris.
71. Georgeff, M. P., Pell, B., Pollack, M., Tambe, M., and Wooldridge, M. 1999. the Belief-Desire-Intention Model of Agency. Lecture 1555, 1-10.
72. Gilbert, N. 2006. When Does Social Simulation Need Cognitive Models? in Cognition and Multi-Agent Interaction, R. Sun Ed., Cambridge University Press, 428-432.
73. Gimblett, H., Ed. 2002. Integrating Geographic Information Systems and Agent-Based Modeling Techniques For Simulating Social and Ecological Processes. Oxford University Press.
74. Gobelbecker, M. and Dornhege, C. 2009. Realistic Cities in Simulated Environments- An Open Street Map To Robocup Rescue Converter. in the online Proceedings of the Fourth International Workshop on Synthetic Simulation and Robotics To Mitigate Earthquake Disasters.
75. GonçAlves, A., Rodrigues, A., and Correia, L. 2004. Multi-Agent Simulation Within Geographic Information Systems. in Proceedings of the 5Th Internationalworkshop on Agent-Based Simulation (Abs-2004). 107- 112.
76. Gonzalez, R. A. 2009A. Analysis and Design of A Multi-Agent System For Simulating A Crisis Response Organization. in Proceedings of the Eomas Workshop, J. Barjis Et Al., Eds., Amsterdam.
77. Gonzalez, R. A. 2009B. Crisis Response Simulation Combining Discrete-Event and Agent-Based Modeling. in Proceeding of the 6th International Iscram Conference.
78. Gonzalez, R. A. 2010. A Framework For Ict-Supported Coordination in Crisis Response. Ph.D. Dissertation" Delft University of Technology.
79. Grimm, V. and Railsback, S. F. 2005. Individual-Based Modeling and Ecology. Princeton University Press.
80. Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W. M., Railsback, S. F., Thulke, H.-H.,Weiner, J." Wiegand, T., and Deangelis, D. L. 2005. Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons From Ecology. Science 310, 987-991.
81. Gropp, W., Lusk, E., and Skjellum, A. 2000. Using Mpi: Portable Parallel Programming With the Message- Passing Interface (2Nd Ed.), Mit Press.
82. Gross, D. and Strand, R. 2000. Can Agent-Based Models Assist Decisions on Large-Scale Practical Problems? A Philosophical Analysis.Complexity 5, 6, 26-33.
83. Gulyas, L., Szemes, G., Kampis, G., and De Back, W. 2009. A Modeler-Friendly Api For Abm Partitioning. in Proceedings of the Asme 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (Idetc/Cie 2009).
84. Guo, D., Ren, B., and Wang, C. 2008. Integrated Agent-Based Modeling With Gis For Large Scale Emergency Simulation. in Proceedings of the 3Rd International Symposium on Advances in Computation and Intelligence. Springer, Berlin, E1-E2.
85. Guttman, A. 1984. R-Trees: A Dynamic Index Structure For Spatial Searching. in Proceedings of the 1984 Acm Sigmod International Conference on Management of Data, Acm, New York.
86. Haddow, G. D., Bullock, J. A., and Coppola, D. P. 2010. Introduction To Emergency Management. Butterworth-Heinemann.
87. Hager, G. and Wellein, G. 2011. Introduction To High Performance Computing For Scientists and Engineers. Crc Press.
88. Hallett, H. 2011. Coroner's Inquests Into the London Bombings of 7 July 2005. http://7Julyinquests. Independent.Gov.Uk/Docs/Orders/Rule43-Report.Pdf.
89. Hare, M. and Deadman, P. 2004. Further Towards A Taxonomy of Agent-Based Simulation Models in Environmental Management. Math.Comput. Simul. 64, 1, 25-40.
90. Hart, P. E. and Raphael, N. J. N. B. 1968. A Formal Basis For the Heuristic Determination of Minimum Cost Paths. Ieee Trans. Syst. Sci. Cybern. 4, 2, 100-107.
91. Helbing, D. Et Al. 2010. the Futurict Knowledge Accelerator: Unleashing the Power of Information For A Sustainable Future. http://Arxiv.Org/Ftp/Arxiv/ Papers/1004/1004.4969.Pdf.
92. Howe, T., Collier, N., North, M., Parker, M. T., and Vos, J. 2006. Containing Agents: Contexts, Projections and Agents. in Proceedings of the Agent 2006 Conference on Social Agents: Results and Prospects, C. M. D. Sallach and M. North, Eds.
93. Hunt, R., Brown, L., Cabinum, E., Whitley, T., Prasad, N., Owens, C., Et Al. 1995. Is Ambulance Transport Time With Lights and Siren Faster Than That Without? Ann. Emergency Med. 25, 4, 507-511.
94. Jacobs, P., Lang, N., and Verbraeck, A. 2002. D-Sol: A Distributed Java Based Discrete Event Simulation Architecture. in Proceedings of the 34Th Winter Simulation Conference on Exploring New Frontiers,793- 800.
95. Jade. 2010. Java Agent Development Framework. http://Jade.Tilab.Com
96. Jain, S. and Mclean, C. 2003. A Framework For Modeling and Simulation For Emergency Response. in Proceedings of the 2003 Winter Simulation Conference, S. Chick Et Al., Eds., 1068-1076.
97. Jess. 2008. the Rule Engine For the Java Platform. http://www.Jessrules. Com/.
98. Josm. 2010. Java Open Street Map Editor. http://Josm.Openstreetmap.De/.
99. Jsi. 2010. Java Spatial Index. http://Jsi.Sourceforge.Net/.
100. Jts. 2006. Jts Topology Suite. http://www.Vividsolutions.Com/Jts/Jtshome. Htm.
101. Kennedy, R., Lane, K., Fuentes, A., Hollocher, H., and Madey, G. 2009. Spatially Aware Agents: An Effective and Efficient Use of Gis Data Within An Agent-Based Model. in Proceedings of the 2009 Spring Simulation Multiconference, Society For Computer Simulation International, 1-8.
102. Kermack, W. O. and Mckendrick, A. G. 1927. A Contribution To the Mathematical theory of Epidemics. in Proceedings of the Royal Society of London A 115, 700-721.
103. Khalil, K. M., Abdel-Aziz, M., Nazmy, T., and Salem, A. 2009. Bridging the Gap Between Crisis Response Operations and Systems. Arxiv Preprint,Arxiv:0908.4290.
104. Khalil, K. M., Abdel-Aziz, M., Nazmy, T. T., and Salem, A.-B. 2010. An Agent-Based Modeling For Pandemic Influenza in Egypt. in Proceedings of the 7Th International Conference on Informatics and Systems (Infos).
105. Kim, T., Hwang, W., Zhang, A., Sen, S., and Ramanathan, M. 2008. Multi-Agent Model Analysis of the Containment Strategy For Avian Influenza (Ai) in South Korea. in Proceedings of the Ieee International Conference on. Bioinformatics and Biomedicine (Bibm '08), Ieee, Washington, D.C., 335-338.
106. Kirk, D. B. and Hwu, W. W. 2010. Programming Massively Parallel Processors: A Hands-on Approach. Morgan Kaufmann.
107. Kitano, H., Tadokoro, S., Noda, I.,Matsubara, H., Takahashi, T., Shinjou, A., and Shimada, S. 1999. Robocop Rescue: Search and Rescue in Large-Scale Disasters As A Domain For Autonomous Agents Research. in Proceedings of the Ieee International Conference on Systems, Man, and Cybernetics.
108. Klein, G. 2007A. Flexecution As A Paradigm For Replanning. Ieee Intell. Syst. 22, 5, 79-83.
109. Klein, G. 2007B. Flexecution, Part 2: Understanding and Supporting Flexible Execution. Ieee Intell. Syst. 22, 6, 108-112.
110. Klein, G. 2008. Naturalistic Decision Making. Hum. Factors 50, 3, 456-460.
111. Klein, G, Calderwood, R., and Clinton-Cirocco, A. 1986. Rapid Decision Making on the Fire Ground. in Proceedings of the Annual Meeting of the Human Factors and Ergonomics Society, Vol. 30, Human Factors and Ergonomics Society, 576-580.
112. Kleiner, A., Behrens, N., and Kenn, H. 2006. Wearable Computing Meets Multiagent Systems: A Real-World Interface For the Robocop Rescue Simulation Platform. in Proceedings of the Agent Technology For Disaster Management (Atdm) Workshop.
113. Kleiner, A., Brenner, M., Brauer, T., Dornhege, C., Gobelbecker, M., Luber, M., Prediger, J., Stuckler, J., and Nebel, B. 2006. Successful Search and Rescue in Simulated Disaster Areas. Lecture Notes in Artificial Intelligence 4020, 323-334.
114. Korf, R. E. 1990. Real-Time Heuristic Search. Artif. Intell. 42, 189-211.
115. Koto, T. and Takeuchi, I. 2003. A Distributed Disaster Simulation System That Integrates Sub-Simulators. in First International Workshop on Synthetic Simulation and Robotics To Mitigate Earthquake Disaster.
116. Koza, J. R. 1992. Genetic Programming: on the Programming of Computers By Means of Natural Selection. Mit Press.
117. Lacher, M. and Bausher, J. 1997. Lights and Siren in Pediatric 911 Ambulance Transports: Are they Being Misused? Ann. Emergency Med. 29, 2, 223-227.
118. Las. 2011. London Ambulance Service Latest Response Times. http://www.Londonambulance.Nhs.Uk/About Us/How We Are Doing/Meeting Our Targets/Latest Response Times.Aspx.
119. Law, A. M. and Kelton, W. D. 1982. Simulation Modeling and Analysis (1St Ed.), Mcgraw-Hill.
120. Lee, S. W., Davidson, R. A. and Lembo, A. J. 2008. Gis-Based Algorithms in Support of Post-Earthquake Fire Spread Modeling. www.Urisa.Org/Files/Lee Postearthquake Firespreadmodeling.Doc.
121. Lerner, E. andmoscati, R. 2001. the Golden Hour: Scientific Fact Or Medical "Urban" Legend? Acad. Emergency Med. 8, 7, 758-760.
122. Liebert, K., Earnest, D., and Tolk, A. 2008. Using Gis Vector Data To Build Virtual Environments For Agent Based Models. in Proceedings of the 2008 Spring Simulation Multiconference, Society For Computer Simulation, International, 45-52.
123. Lin, M. C. and Manocha, D. 2010. Simulation Technologies For Evacuation Planning and Disaster Response. Tech. Rep., Institute For Homeland Security Solutions.
124. London Resilience Team. 2010. London Regional Command and Control Protocol. http://www.Londonprepared. Gov.Uk/Downloads/Londonc-C-Protocol-V4.Pdf. Version 4.
125. Macal, C. M. and North, M. J. 2010. Tutorial on Agent-Based Modeling and Simulation. J. Simulation 4, 151-162.
126. Maguire, B., Hunting, K., Smith, G., and Levick, N. 2002. Occupational Fatalities in Emergency Medical Services: A Hidden Crisis. Ann. Emergency Med. 40, 6, 625-632.
127. Manolopoulos, Y., Nanopoulos, A., Papadopoulos, A. N., and theodoridis, Y. 2003. R-Trees Have Grown Everywhere. http://www.Rtreeportal.Org/.
128. Massaguer, D.,Balasubramanian, V.,Mehrotra, S., and Venkatasubramanian, N. 2006. Multi-Agent Simulation of Disaster Response. in Proceedings of the First Internationalworkshop on Agent Technology For Disaster Management (Atdm).
129. Massaioli, F., Castiglione, F., and Bernaschi, M. 2005. Openmp Parallelization of Agent-Based Models. Parallel Comput. 31, 10-12, 1066-1081.
130. MendoçA, A. D. 2007. Decision Support For Improvisation in Response To Extreme Events: Learning From the Response To the 2001 World Trade Center Attack. Decision Support Syst. 43, 3, 952-967.
131. MendoçA, A. D. and Fiedrich, F. 2006. Training For Improvisation in Emergency Management: Opportunities and Limits For Information Technology. Int. J. Emergency Manage. 3, 4, 348-363.
132. Moth, D. 2011. Blazing-Fast Code Using Gpus and More, With Microsoft Visual C++. http://Developer.Amd.Com/Afds/Assets/Presentations/2616 Final.Pdf. Presented At the Amd Fusion Developer Summit 2011.
133. Motowidlo, S. J., Dunnette, M. D., and Carter, G. W. 1990. An Alternative Selection Procedure: the Low-Fidelity Simulation. J. Appl. Psychol. 75, 640-647.
134. Mukherjee, T. and Gupta, S. K. S. 2009. Cret: A Crisis Response Evaluation Tool To Improve Crisis Preparedness. in Proceedings of the Ieee International Conference on Technologies For Homeland Security.
135. Muller, J. P. 1999. the Right Agent (Architecture) To Do the Right Thing. Lecture Notes in Computer Science 1555, 211-225.
136. Mysore, V., Gill, O., Daruwala, R., Antoniotti, M.,Mishra, B., and Saraswat, V. 2005. Multiagent Modeling and Analysis of the Brazilian Food Poisoning Scenario. in Proceedings of the Agent 2005 Conference on Generative Social Processes, Models, and Mechanisms, C. Macal Et Al., Eds.
137. Mysore, V.,Narzisi, G., and Mishra, B. 2006. Agent Modeling of A Sarin Attack in Manhattan. in Proceedings of the First International Workshop on Agent Technology For Disaster Management, 108-115.
138. Narzisi, G., Mincer, J., Smith, S., and Mishra, B. 2007. Resilience in the Face of Disaster: Accounting For Varying Disaster Magnitudes, Resource Topologies, and (Sub) Population Distributions in the Plan-C Emergency Planning Tool. Lecture Notes in Computer Science 4659, 433.
139. Narzisi, G.,Mysore, V., andmishra, B. 2006. Multi-Objective Evolutionary Optimization of Agent Based Models: An Application To Emergency Response Planning. in Proceedings of the Second Iasted International Conference on Computational Intelligence, 224-230.
140. Narzisi, G., Mysore, V., Nelson, L., Rekow, D., Triola, M., Halcomb, L., Portelli, I., and Mishra, B. 2006.Complexities, Catastrophes and Cities: Unraveling Emergency Dynamics. in Proceedings of the Sixth International Conference on Complex Systems (Iccs 2006), A. Minai Et Al., Eds.
141. Newgard, C. D., Schmicker, R. H., Hedges, J. R., Trickett, J. P., Davis, D. P., Bulger, E. M., Aufderheide, T. P., Minei, J. P., Hata, J. S., Gubler, K. D., Brown, T. B., Yelle, J.-D., Bardar-Son, B., and Nichol, G. 2010. Emergency Medical Services Intervals and Survival in Trauma: Assessment of the "Golden Hour" in A North American Prospective Cohort. Ann. Emergency Med. 55, 3, 235-246.
142. Nikolai, C. and Madey, G. 2007. Anatomy of A Toolkit: A Comprehensive Compendium of Various Agent-Based Modeling Toolkits on the Market Today. in Proceedings of the Agent 2007 Conference on Complex Interaction and Social Emergence, M. North Et Al., Eds., 87-98.
143. Nikolai, C. and Madey, G. 2009A. Searchable Taxonomies of Agent Based Modeling Toolkits. in Proceedings of the 2009 Spring Simulation Multiconference.
144. Nikolai, C. and Madey, G. 2009B. Tools of the Trade: A Survey of Various Agent Based Modeling Platforms. J. Artif. Soc. Social Simul. 12, 2, 2.
145. North, M. J. and Macal, C. M. 2007. Managing Business Complexity: Discovering Strategic Solutions With Agent-Based Modeling and Simulation. Oxford University Press.
146. North, M. J., Tatara, E.,Collier, N. T., and Ozik, J. 2007. Visual Agent-Based Model Development With Repast Simphony. in Proceedings of the Agent 2007 Conference on Complex Interaction and Social Emergence.
147. Nussle, T. A., Kleiner, A., and Brenner, M. 2005. Approaching Urban Disaster Reality: the Resq Fire Simulator. Lecture Notes in Computer Science 3276, 474-482.
148. Openstreetmap. 2010. the Free Wiki World Map. http://www.Openstreetmap. Org/.
149. Oren, T. and Longo, F. 2008. Emergence, Anticipation and Multisimulation: Bases For Conflict Simulation. in Proceedings of the 20th European Modeling & Simulation Symposium (Emss), 546-555.
150. Orion. 2010. Exercise Orion. http://www.Orion2010.Co.Uk/.
151. Osterwalder, J. 2002. Can the "Golden Hour of Shock" Be Safely Extended in Blunt Polytrauma Patients? Prospective Cohort Study At A Level I Hospital in Eastern Switzerland. Prehospital Disaster Med. 17, 2, 75-80.
152. O'sullivan, D. 2008. Geographical Information Science: Agent-Based Models. Progress in Human Geography 32, 4, 541-550.
153. Oguz, O., Akaydin, A., Yilmaz, T., and Gudukbay, U. 2010. Emergency Crowd Simulation For Outdoor Environments.Comput. Graph. 34, 2, 136-144.
154. Parker, J. 2007. A Flexible, Large-Scale, Distributed Agent-Based Epidemic Model. in Proceedings of the 2007 Winter Simulation Conference, Ieee, Washington, D.C., 1543-1547.
155. Pawling, A., Schoenharl, T., Yan, P., and Madey, G. 2008. Wiper: An Emergency Response System. in Proceedings of the 5Th International Iscram Conference, F. Fiedrich and B. V. De Walle, Eds.
156. Peterson, M. 2009. An Introduction To Decision theory. Cambridge University Press.
157. Petri, R., Dyer, A., and Lumpkin, J. 1995. the Effect of Prehospital Transport Time on the Mortality From Traumatic Injury. Prehospital Disaster Med. 10, 1, 24.
158. Petrie, C. 2007. No Science Without Semantics. Ieee Internet Comput. 11, 88, 86-87.
159. Pokahr, A., Braubach, L., and Lamersdorf, W. 2005. Jadex: A Bdi Reasoning Engine. in Multi-Agent Programming, G. Weiss Et Al., Eds., 149-174.
160. Pons, P. and Markovchick, V. 2002. Eight Minutes Or Less: Does the Ambulance Response Time Guideline Impact Trauma Patient Outcome? J. Emergency Med. 23, 1, 43-48.
161. Pooyandeh, M., Mesgari, S., and Alimohammadi, A. 2007. Integration of Agent-Based Modeliing and Gis For Urban Simulation. in Proceedings of Geomatics 1386.
162. Railsback, S. F., Lytinen, S. L., and Jackson, S. K. 2006. Agent-Based Simulation Platforms: Review and Development Recommendations. Simulation 82, 9, 609-623.
163. Rand, W., Brown, D., Riolo, R., and Robinson, D. 2005. Toward A Graphical Abm Toolkit With Gis Integration. in Proceedings of the Agent 2005 Conference on Generative Social Processes, Models, and Mechanisms, C. Macal Et Al., Eds., 27-42.
164. Ren, C., Yang, C., and Jin, S. 2009. Agent-Based Modeling and Simulation on Emergency Evacuation. in Complex Sciences, Springer, Berlin, 1451-1461.
165. Repast. 2010. the Repast Suite. http://Repast.Sourceforge.Net/.
166. Reuters. 2011. Hawaii Orders Evacuations in Pacific Tsunami Threat. http://www.Reuters.Com/Article/2011/03/11/Us-Japan-Quake-Tsunami-Hawaii- Idustre72A1Ow20110311.
167. Roberts, D. 2010. Distributed Agent Based Modeling. http://www. Linuxjournal.Com/Content/Distributedagent- Based-Modeling.
168. Robocup Rescue Simulation Project. 2010. http://www.Sf.Net/Projects/ Roborescue.
169. Ruas, T., Das Gracas B. Marietto, M., Franca, R., and Batista, A. F. 2009. A Model For Fire Spreading By Multi-Agent Systems: A Robocup Rescue Simulation and Swarm Platform Approach. in Proceedings of the Second International Conference on the Applications of Digital Information and Web Technologies (Icadiwt '09), 380-385.
170. Rubinstein, A. 1998. Modeling Bounded Rationality. Mit Press.
171. Runka, A. 2010. Genetic Poogramming For the Robocup Rescue Simulation System. M.S. thesis, Faculty of Computer Science, Brock University.
172. Russell, S. and Norvig, P. 2009. Artificial Intelligence: A Modern Approach. Prentice Hall.
173. Samuelson, D. A., Parker, M., Zimmerman, A., Miller, L., Guerin, S., Thorp, J., and Densmore, O. 2008. Agent-Based Simulations of Mass Egress After Improvised Explosive Device Attacks. in Proceedings of the 5Th International Iscram Conference, F. Fiedrich and B. V. De Walle, Eds.
174. Saoud, N. B.-B., Darcy, S., Dugdale, J., Pavard, B., and Ahmed, M. B. 2003. Simulation Multi-Agents De Situation De Secours D'urgence (Multi-Agent Simulation of Emergency Situations). in Proceedings of the 10th Journees Francophones D' Informatique Medicale.
175. Saoud, N. B.-B., Dugdale, J., Pavard, B., Ahmed, M. B.,Mena, T. B., and Touai, N. B. 2004. Towards Planning For Emergency Activities in Large-Scale Accidents. in Proceedings of Iscram.
176. Saoud, N. B.-B., Mena, T. B.,Dugdale, J., Pavard, B., and Ahmed, M. B. 2006. Assessing Large Scale Emergency Rescue Plans: An Agent-Based Approach. Int. J. Intell. Control Syst. 11, 4, 260-271.
177. Saoud, N. B.-B., Pavard, B., and Dugdale, J. 2005. An Agent-Based Testbed For Simulating Large Scale Accident Rescue Heuristics. J.Comput. Sci. 21-26.
178. Sarika, R. 2010. Database Driven Robocup Rescue Server. Ph.D. Dissertation, International Institute of Information Technology, Hyderabad.
179. Sato, K. and Takahashi, T. 2011. A Study of Map Data Influence on Disaster and Rescue Simulation's Results. in Advances in Practical Multi-Agent Systems, Q. Bai and N. Fukuta, Eds., Springer, Berlin, 389-402.
180. Sawaragi, Y., Nakayama, H., and Tanino, T. 1985. theory of Multiobjective Optimization. Academic Press.
181. Schoenharl, T., Bravo, R., and Madey, G. 2006. Wiper: Leveraging the Cell Phone Network For Emergency Response. Int. J. Intell. Control Syst. 11, 4, 209-216.
182. Schoenharl, T., Zhai, Z., Mccune, R., Pawling, A., and Madey, G. 2009. Design and Implementation of An Agent-Based Simulation For Emergency Response and Crisis Management. in Proceedings of the 2009 Spring Simulation Multiconference.
183. Schoenharl, T.W. 2007. Creating, Updating and Validating Simulations in A Dynamic Data-Driven Application System. Ph.D. Dissertation, University of Notre Dame.
184. Schule, M., Herrler, R., and Klugl, F. 2004. Coupling Gis and Multi-Agent Simulation- Towards Infrastructure For Realistic Simulation. Lecture Notes in Computer Science 3187, 228-242.
185. Sengupta, R. and Sieber, R. 2007. Geospatial Agents, Agents Everywhere. Trans. Gis 11, 4, 483-506.
186. Sethia, P. and Karlapalem, K. 2010. Robocup Rescue Simulator on Graphics Processing Units. http://Roborescue.Sourceforge.Net/2010/Tdps/Infra/Gpu.Pdf.
187. Shahbazi, H., Abdolmaleki, A., Salehi, S., Shahsavari, M., and Movahedi, M. 2010. Brave Circles Team Description Paper. http://Roborescue.Sourceforge. Net/2010/Teams.html.
188. Siddhartha, H., Sarika, R., and Karlapalem, K. 2009A. Retrospective Analysis of Robocup Rescue Simulation Agent Teams. in Proceedings of Autonomous Agents and Multiagent Systems (Aamas '09), S. Decker Et Al., Eds.
189. Siddhartha, H., Sarika, R., and Karlapalem, K. 2009B. Score Vector: A New Evaluation Scheme For Robocup Rescue Simulation Competition.
190. Simon, H. 1957. A Behavioral Model of Rational Choice. in Models of Man, Social and Rational: Mathematical Essays on Rational Human Behavior in A Social Setting, Wiley.
191. Skinner, C. and Ramchurn, S. 2010. the Robocup Rescue Simulation Platform. in Proceedings of the 9Th International Conference on Autonomous Agents and Multiagent Systems (Aamas '10), 1647-1648.
192. Skvortsov, A., Connell, R., Dawson, P., and Gailis, R. 2007. Epidemic Modeling: Validation of Agent-Based Simulation By Using Simple Mathematical Models. in Proceedings of the International Congress on Modeling and Simulation (Modsim 2007).
193. Smith, L., Beckman, R., and Baggerly, K. 1995. Transims: Transportation Analysis and Simulation System. Tech. Rep., Los Alamos National Lab.
194. Stentz, A. 1995. the Focused D Algorithm For Real-Time Replanning. in Proceedings of the International Joint Conference on Artificial Intelligence, 1652-1659.
195. Stirling, W. C. 2003. Satisficing Games and Decision Making. Cambridge University Press.
196. Straylight. 2010. the Emergency Simulation Program (Esp). http://www.Straylightmm.Com/.
197. Sun, R. 2006. Prolegomena To Integrating Cognitive Modeling and Social Simulation. in Cognition and Multi-Agent Interaction, Cambridge University Press, 3-28.
198. Sutter, H. 2005. the Free Lunch Is Over: A Fundamental Turn Toward Concurrency in Software. Dr. Dobb's J. 30, 3, 202-210.
199. Sutter, H. 2011. Heterogeneous Parallelism At Microsoft.
200. Sutter, H. and Larus, J. 2005. Software and the Concurrency Revolution. Queue 3, 7, 54-62.
201. Swarm. 2011. Swarm Agent Platform. http://www.Swarm.Org/Index.Php/Main Page.
202. Tadokoro, S. 2006. Robocup-Rescue Simulation Project Overview. http://www.Rescuesystem.Org/Robocuprescue/Simoverview.html.
203. Tadokoro, S., Kitano, H., Takahashi, T., Noda, I., Matsubara, H., Shinjoh, A., Koto, T., Takeuchi, I., Takahashi, H., Matsuno, F., Hatayama, M., Nobe, J., and Shimada, S. 2000. the Robocup-Rescue Project: A Robotic Approach To the Disaster Mitigation Problem. in Proceedings of the Ieee International Conference on Robotics and Automation (Icra'00), Ieee, Washington, D.C., 4089-4094.
204. Takahashi, H., Tanigawa, M., and Takahashi, T. 2005. Tool Kits For Using Open Source Gis Data As Robocup Rescue Gis Maps. in Proceedings of Robocup 2005.
205. Takahashi, T. 2007. Agent-Based Disaster Simulation Evaluation and Its Probability Model Interpretation. in Proceedings of Iscram 2007, 369-376.
206. Takahashi, T. 2009. Robocup Rescue- Agent-Based Disaster Simulation System: Challenges and Lessons Learned. in Multi-Agent Systems: Simulation and Applications, A. M. Uhrmacher and D. Weyns, Eds., Crc Press.
207. Takahashi, T., Takeuchi, I., Koto, T., Tadokoro, S., and Noda, I. 2001. Robocup Rescue Disaster Simulator Architecture. Lecture Notes in Computer Science 2019, 379-384.
208. Takeuchi, I. 2005. A Massively Multi-Agent Simulation System For Disaster Mitigation. in Proceedings of the First International Workshop on Massively Multi-Agent Systems I (Mmas '04), Springer, Berlin, 269.
209. Tanigawa, M., Takahashi, T.,Koto, T., Takeuchi, I., and Noda, I. 2005. Urban Flood Simulation As A Component of Integrated Earthquake Disaster Simulation. in Proceedings of the 2005 Ieee International Safety, Security and Rescue Robotics Workshop, Ieee, Washington, D.C., 248-252.
210. Terracotta. 2010. http://www.Terracotta.Org/Solutions/Grid.
211. Turner, J., O'keefe, C., Dixon, S., Warren, K., and Nicholl, J. 2006. the Costs and Benefits of Changing Ambulance Response Time Performance Standards. Tech. Rep., Medical Care Research Unit School of Health and Related Research, University of Sheffield.
212. Turton, I. 2008. Geotools. in Open Source Approaches in Spatial Data Handling, G. Hall and M. Leahy Eds., Springer, Berlin, 153-169.
213. Uchmanski, J. and Grimm, V. 1996. Individual-Based Modeling in Ecology: What Makes the Difference? in Trends in Ecology and Evolution 11, 437-441.
214. U.K. Cabinet office. 2010A. National Risk Register of Civil Emergencies. http://www.Cabinetoffice. Gov.Uk/Media/348986/Nationalriskregister-2010.Pdf.
215. U.K. Cabinet office. 2010B. Responding To Emergencies, the Uk Central Government Response: Concept of Operations. http://www.Cabinetoffice.Gov.Uk/ Media/349120/Conops-2010.Pdf.
216. U.K. Cabinet office. 2011. Emergency Exercises. http://www.Cabinetoffice. Gov.Uk/Content/Emergencyexercises.
217. Usa Today. 2011. La. Floodgate Opened; Residents Brace For Flooding. http://www.Usatoday.Com/Weather/Floods/2011-05-13-Louisiana-Spillway N.Htm.
218. Valle, S. D., Kubicek, D., Mniszewski, S., Riese, J., Romero, P., Smith, J., Stroud, P., and Sydoriak., S. 2006. Episims Los Angeles Case Study. Tech. Rep. Laur-06-0666, Los Alamos National Laboratory, Jan.
219. Vapnik, V. 2006. Estimation of Dependences Based on Empirical Data. Springer, Berlin.
220. Wang, J., Xiong, J., Yang, K., Peng, S., and Xu, Q. 2010. Use of Gis and Agent-Based Modeling To Simulate the Spread of Influenza. in Proceedings of the 18Th International Conference on Geoinformatics, 1-6.
221. Warshall, S. 1962. A theorem on Boolean Matrices. J. Acm 9, 1, 11-12.
222. Wolf, E. 2003. Using Agent-Based Distillations To Explore Logistics Support To Urban, Humanitarian Assistance/Disaster Relief Operations. Ph.D. Dissertation, Naval Postgraduate School.
223. Wooldridge, M. 2009. An Introduction To Multi-Agent Systems (2Nd. Ed.), Wiley.
224. Wooldridge, M. and Jennings, N. R. 1995. Intelligent Agents: theory and Practice. Knowl. Eng. Rev. 10, 2, 115-152.
225. Xiang, X., Kennedy, R., Madey, G., and Cabaniss, S. 2005. Verification and Validation of Agent-Based Scientific Simulation Models. in Proceedings of the 2005 Agent-Directed Simulation Symposium, L. Yilmaz, Ed., 47-55.
226. Yahja, A. and Carley, K. 2006. Wizer: Automated Model Improvement in Multi-Agent Social-Network Systems. in Coordination of Large-Scale Multiagent Systems, P. Scerri Et Al. Eds., Springer, Berlin, 255-270.
227. Yoo, M.-J. and Glardon, R. 2009.Combining Jade and Repast For the Complex Simulation of Enterprise Value-Adding Networks. Lecture Notes in Computer Science 5386, Springer, Berlin, 243-256.
228. Zhao, K., Yen, J., Maitland, C., Tapia, A., and Tchouakeu, L. 2009. A Formal Model For Emerging Coalitions Under Network Influence in Humanitarian Relief Coordination. in Proceedings of the 2009 Spring Simulation Multiconference, International Society For Computer Simulation.
229. Zhong, W. and Kim, Y. 2011. Searching For Sweet Spots of Communication During An Emergency. in Proceedings of the 11Th Biennial and 20th Anniversary Public Management Research Conference.