Gianni, Daniele, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182 and Gelenbe, Erol (2008) A simulation framework for the investigation of adaptive behaviours in largely populated building evacuation scenarios. In: Seventh International Joint Conference on Autonomous Agents & Multi-Agent Systems (AAMAS 08). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, USA.

Full text not available from this repository.

Abstract

In an emergency scenario, civilians and emergency personnel have to continuously adapt their behaviour and make quick decisions to tackle unpredicted developments. Determining the optimal decisions and devising viable operational plans, while adapting to world changes, require systematic and accurate investigation of such systems. To effectively carry out such investigations in largely populated scenarios, we need a software framework that allows (i) reproducibility of the experiments, (ii) extendibility to diverse and unforeseen scenarios and (iii) distributed operation to allow the simulation of largely populated scenarios. We achieve all three requirements by developing an agent-based discrete-event simulation framework, and then building on top a Building Evacuation Simulator (BES), according to modern software engineering practices.

Item Type:	Conference Proceedings
Title of Proceedings:	Seventh International Joint Conference on Autonomous Agents & Multi-Agent Systems (AAMAS 08)
Additional Information:	[1] This paper was presented at the International Workshop on "Organised Adaptation in Multi-Agent Systems" in the Seventh International Joint Conference on Autonomous Agents & Multi-Agent Systems (AAMAS 08), Estoril, Portugal, May 2008. [2] This research was undertaken as part of the Autonomous Learning Agents for Decentralised Data and Information Systems (ALADDIN) project and is jointly funded by a BAE Systems and Engineering and Physical Research Council (EPSRC) strategic partnership (EP/C548051/1).
Uncontrolled Keywords:	building evacuation, simulation, software framework, adaptation, multi-agent system
Subjects:	Q Science > Q Science (General)
Pre-2014 Departments:	School of Computing & Mathematical Sciences
Related URLs:	Publisher Organisation Organisation
Last Modified:	21 Oct 2020 08:00
URI:	http://gala.gre.ac.uk/id/eprint/9248

Actions (login required)

View Item