Adam, Carole, Taillandier, Patrick, Dugdale, Julie and Gaudou, Benoit (2017) BDI versus FSM agents in social simulations for raising awareness in disasters: a case study in Melbourne bushfires. International Journal of Information Systems for Crisis Response and Management (IJISCRAM), vol. 9 (n° 1). pp. 27-44.

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Each summer in Australia, bushfires burn many hectares of forest, causing deaths, injuries, and destroying property. Agent-based simulation is a powerful tool to test various management strategies on a simulated population, and to raise awareness of the actual population behaviour. But valid results depend on realistic underlying models. This article describes two simulations of the Australian population's behaviour during bushfires designed in previous work, one based on a finite-state machine architecture, the other based on a belief-desire-intention agent architecture. It then proposes several contributions towards more realistic agent-based models of human behaviour: a methodology and tool for easily designing BDI models; a number of objective and subjective criteria for comparing agent-based models; a comparison of our two models along these criteria, showing that BDI provides better explanability and understandability of behaviour, makes models easier to extend, and is therefore best adapted; and a discussion of possible extensions of BDI models to further improve their realism.

Item Type: Article
Language: English
Date: 2017
Refereed: Yes
Uncontrolled Keywords: Agent-based social simulation - Human behaviour modelling - BDI agents - GAMA platform - Crisis management - Bushfires
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 22 Jan 2019 15:08
Last Modified: 02 Apr 2021 15:58
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