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All Journal JOIV : International Journal on Informatics Visualization
Paschal, Celine Haren
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Computer Science & IT

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Agent-Oriented Modelling and Simulation for Robotic Based Predator Control Andy, Yee Wee Chieh; Shiang, Cheah Wai; Paschal, Celine Haren
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.3347

Abstract

Agent-oriented modeling (AOM) is a methodology that can develop complex tasks that involve multi-agent system development, such as robotic systems. There are still insufficient studies on how Agent-Oriented Modelling benefits robotic development. There is little reference to using Agent-Oriented Modelling to develop complex systems, especially robotic applications. This study aims to investigate the adoption of AOM for robotic surveillance modeling and simulation for predator control in the farming sector and to conduct qualitative comparisons on robotic models and simulation methods. A case study of robotic-based predator control is used to develop the system using the AOM model. Later, this is incorporated into a Netlogo simulation to illustrate the suggested methodology in the model simulation stage. A qualitative analysis of the model is performed to validate the model.  SUS analysis for AOM usability at the score of 68.35 shows AOM is at the average usability level for beginner users in software development. Qualitative analysis shows that beginner users prefer to use AOM for complex adaptive and distributed robotic systems. AOM is introduced to create robotic-based predator control in a structured manner to prove that AOM can be used to develop complex systems. Introducing Agent-Oriented Modelling in various domains leads to higher confidence in the industry player's adoption of this model across multiple system developments.
Developing Fire Evacuation Simulation Through Emotion-based BDI Methodology Paschal, Celine Haren; Shiang, Cheah Wai; Wai, Sim Keng; bin Khairuddin, Muhammad Asyraf
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.854

Abstract

Fire evacuation simulation is a tool to study human behavior in dealing with fire. It has been used for safety policy management studies, building safety analysis, and human safety understanding. To date, modeling the fire evacuation behavior is paying much attention in which works have been done to design and develop building model, fire model, human decision model, and human emotion decision model. As fire evacuation simulation is important, the BDI methodology is introduced by authors to ease modeling and simulation of human behavior in a fire evacuation. Continue the success of capturing and modeling the human behavior in a fire evacuation. This paper presents the influence of human emotion in fire evacuation simulation. In this paper, the emotion-based BDI methodology is presented with a walkthrough example of how emotion can influence the human decision in a fire spreading scenario. The OCEAN model of personality is used to handle the emotional properties in the methodology. Different people have different types of personalities, which can affect both decision-making and emotion in different situations. A fire evacuation simulation is developed by using the Unity3D game engine. The simulation is created based on the emotion-based BDI methodology presented. Hence, the emotion-based BDI methodology can be used to model human behavior and emotional states in a fire evacuation. Overall, the paper introduces a new insight into how to model human behavior in fire evacuation decision-making systematically.
Co-Authors Andy, Yee Wee Chieh bin Khairuddin, Muhammad Asyraf Shiang, Cheah Wai Wai, Sim Keng