Agent-Based Simulation of Data-Driven Fire Propagation Dynamics
- John MichopoulosAffiliated withSpecial Projects Group, Code 6303, U.S. Naval Research Laboratory
- , Panagiota TsompanopoulouAffiliated withDept. of Comp. Eng. and Telecommunications, University of Thessaly
- , Elias HoustisAffiliated withDept. of Comp. Eng. and Telecommunications, University of ThessalyComputer Sciences Department, Purdue University
- , Anupam JoshiAffiliated withDept. of Comp. Sci. and Electr. Eng., U. of Maryland Baltimore County
Real world problems such as fire propagation prediction, can often be considered as a compositional combination of multiple, simple but coupled subproblems corresponding to analytical and computational behavior models of the systems involved in multiple domains of action. The existence of various computational resources (legacy codes, middleware, libraries, etc.) that solve and simulate the subproblems successfully, the coupling methodologies, the increasing and distributed computer power (GRID etc.) and the polymorphism and plurality of the available technologies for distributed mobile computing, such as Agent Platforms, motivated the implementation of multidisciplinary problem solving environments (MPSE) to overcome the difficulties of their integration and utilization. In this paper we present the onset of the development of computational infrastructure for the simulation of fire propagation in multiple domains using agent platforms as an informal validation of our data-driven environment for multi-physics applications (DDEMA).
- Agent-Based Simulation of Data-Driven Fire Propagation Dynamics
- Book Title
- Computational Science - ICCS 2004
- Book Subtitle
- 4th International Conference, Kraków, Poland, June 6-9, 2004, Proceedings, Part III
- pp 732-739
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Industry Sectors
- Editor Affiliations
- 15. Institute of Computer Science, AGH
- 16. Department of Mathematics and Computer Science, University of Amsterdam
- 17. Faculty of Sciences, Section of Computational Science, University of Amsterdam
- 18. Computer Science Department, University of Tennessee
- Author Affiliations
- 19. Special Projects Group, Code 6303, U.S. Naval Research Laboratory, U.S.A.
- 20. Dept. of Comp. Eng. and Telecommunications, University of Thessaly, Greece
- 21. Computer Sciences Department, Purdue University, U.S.A.
- 22. Dept. of Comp. Sci. and Electr. Eng., U. of Maryland Baltimore County, U.S.A.
To view the rest of this content please follow the download PDF link above.