Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Scenario Generation with Cellular Automaton for Game-based Crisis Simulation System

Praiwattana, P and El Rhalibi, A (2016) Scenario Generation with Cellular Automaton for Game-based Crisis Simulation System. In: IEEE DESE 2016 - Developments in eSystems Engineering, 31 August 2016 - 02 September 2016, Liverpool and Leeds, UK.

[img] Text
Scenario Generation with Cellular Automaton-Accepted.pdf - Accepted Version

Download (838kB)

Abstract

Crisis is infrequent and unpredictable event which is challenging to prepare and resolve. Scenario generation for modeling a crisis using computational approach is preferable due to its flexibility to produce automated variation of scenario based on different setup key factors. Combining crisis generation with game technology, serious-game game can be developed to provide potential support in training and simulation practice of real-world crisis situation to different stakeholders. Therefore, in this paper, we propose a computational framework to provide automated generation of a fire crisis scenario with firefighter-agent simulation using cellular automaton with influence map for agent behavior optimization, and visualization using a 3D game engine. The framework is evaluated based on performance, convergence and realistic behavior of both crisis event (e.g. fire propagation or control) and crisis resolution (e.g. firefighter solving the crisis).

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science
Publisher: IEEE
Date Deposited: 19 Dec 2016 10:49
Last Modified: 19 Dec 2016 10:49
URI: http://researchonline.ljmu.ac.uk/id/eprint/5112

Actions (login required)

View Item View Item