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All Journal JOIV : International Journal on Informatics Visualization
Shiang, Cheah Wai
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Computer Science & IT

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Journal : JOIV : International Journal on Informatics Visualization

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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.
A Multi-Agent Simulation Evacuation Model Using The Social Force Model: A Large Room Simulation Study Hussain, Norhaida; Shiang, Cheah Wai; Loke, Seng; Khairuddin, Muhammad Asyraf bin
JOIV : International Journal on Informatics Visualization Vol 6, No 1-2 (2022): Data Visualization, Modeling, and Representation
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1-2.929

Abstract

Research on evacuation simulation has received significant attention over the past few decades. Disasters, whether they were caused by nature or by humans, which claimed lives were also the impetus for the establishment of various evacuation studies. Numerous research points to the possibility of simulating an evacuation utilizing the Social Force Model (SFM) and a leading person or leader, but without using the multi-agent architecture. Within the scope of this article, the multi-agent architecture for crowd steering that we suggest will be investigated. The architecture will utilize a model known as the Social Force Model to figure out how evacuees will move around the area. After this step, the model is simulated in NetLogo to determine whether the architecture can model the evacuation scenario. A simulation test is carried out for us to investigate the degree to which the behavior of the original SFM and the message-passing model is comparable to one another. The result demonstrates that the proposed architecture can simulate the evacuation of pedestrians. In addition, the simulation model can simulate utilizing the grouping strategy as well as the no grouping technique. The findings also showed that the model can capture many evacuation patterns, such as an arch-shaped pattern at the opening of the exit.
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 Hussain, Norhaida Khairuddin, Muhammad Asyraf bin Loke, Seng Paschal, Celine Haren Wai, Sim Keng