An Emotion-based Belief-Desire-Intention Methodology for Fire Evacuation Simulation

Celine Haren, Paschal (2025) An Emotion-based Belief-Desire-Intention Methodology for Fire Evacuation Simulation. Masters thesis, Universiti Malaysia Sarawak.

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Abstract

This research aims to extend the Belief-Desire-Intention (BDI) methodology by incorporating emotions to provide a more authentic simulation of complex human behaviour in fire evacuation scenarios. Emotions play a vital role in decision-making processes, making their accurate representation necessary for realistic simulations. Building upon these findings, two experiments were conducted: Experiment 1 compares the effectiveness of the emotion-based BDI methodology against the extended BDI methodology in modelling agent behaviour during fire evacuations. Experiment 2 employs the System Usability Scale (SUS) score to assess the usability of the emotion-based BDI methodology. The outcomes of both experiments demonstrate the potential of the proposed approach to create more accurate and insightful simulations. This study expands the understanding of the relationship between emotions and behaviour and contributes to the refinement of the emotion-based BDI methodology, making the way for improved simulations across diverse scenarios. Through this research, the potential of enhancing computer simulations with emotions, offering a more authentic representation of human behaviour and decision-making in critical situations, can be observed. This research contributes to extending the BDI methodology by incorporating emotional factors to improve decision-making during fire evacuations. By designing an emotion-oriented BDI framework and evaluating key emotional properties, the study enhances the realism and reliability of evacuation simulations. The integration of emotions leads to more accurate decision-making patterns, resulting in better safety outcomes and more realistic simulations that closely mirror real-world human behaviour in emergencies. Hence, from the results of the analysis, the emotion-based BDI methodology can be used to present human responses, providing a valuable framework for future advancements in simulation technology and applications.

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