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Author Tomoichi Takahashi pdf  isbn
  Title Agent-based disaster simulation evaluation and its probability model interpretation Type Conference Article
  Year 2007 Publication Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007  
  Volume Issue Pages 369-376  
  Keywords Disasters; Probability; Agent based simulation; Agent based social simulation; Agent-based approach; Agent-based social simulations; Disaster simulation; Evaluation method; Local government; Probability modeling; Computer simulation  
  Abstract (up) Agent-based simulations enable the simulation of social phenomenon by representing human behaviors using agents. Human actions such as evacuating to safe havens or extinguishing fires in disaster areas are important during earthquakes. The inclusion of human actions in calculating the damage at disaster sites provides useful data to local governments for planning purposes. In order to practically apply these simulation results, these results should be tested using actual data. Further, these results should be analyzed and explained in a manner that people who are not agent programmers can also understand easily. First, the possibility of applying agent-based approaches to social tasks is shown by comparing the simulation results with those obtained from other methods. Next, we propose a method to present agent behaviors using a probability model and discuss the results of applying this method to the RoboCup Rescue simulation data. These will delve into future research topics for developing agent based social simulations to practical ones.  
  Address Meijo University, Japan  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium  
  Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 988  
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