Comparing Agent Architectures in Social Simulation: BDI Agents versus Finite-state Machines

Simple item page
dc.contributor.authorAdam, Carole
dc.contributor.authorTaillandier, Patrick
dc.contributor.authorDugdale, Julie
dc.date.accessioned2016-12-29T00:11:43Z
dc.date.available2016-12-29T00:11:43Z
dc.date.issued2017-01-04
dc.description.abstractEach summer in Australia, bushfires burn many hectares of forest, causing deaths, injuries, and destroying property. Agent-based simulation is a powerful tool for decision-makers to explore different strategies for managing such crisis, testing them on a simulated population; but valid results require realistic underlying models. It is therefore essential to be able to compare models using different architectures to represent the human behaviour, on objective and subjective criteria. In this paper we describe two simulations of the Australian population's behaviour in bushfires: one with a finite-state machine architecture; one with a BDI architecture. We then compare these two models with respect to a number of criteria.
dc.format.extent7 pages
dc.identifier.doi10.24251/HICSS.2017.032
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/10125/41181
dc.language.isoeng
dc.relation.ispartofProceedings of the 50th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAgent-based social simulation Bushfires Cognitive agent architectures Disaster Management Emergency Management
dc.titleComparing Agent Architectures in Social Simulation: BDI Agents versus Finite-state Machines
dc.typeConference Paper
dc.type.dcmiText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
paper0032.pdf
Size:
640.54 KB
Format:
Adobe Portable Document Format
Download

Collections

Communication and Information Systems Technology for Crisis and Disaster Management Minitrack