Developing Agent-Oriented Video Surveillance System through Agent-Oriented Methodology (AOM)

Shiang, Cheah Wai; Onn, Bong Tien; Tee, Fu Swee; Khairuddin, Muhammad Asyraf bin; Mahunnah, Msury

doi:10.20532/cit.2016.1002869

Cited by 10 publications

(6 citation statements)

References 29 publications

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“…Agent-oriented methodology or modeling is the methodology compliant with model-driven architecture for complex socio-critical system modeling. It has been adopted in games [16], ICT4D [17], mobile application development [18], chemistry simulation [19], smart application [20].…”

Section: Methodsmentioning

confidence: 99%

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Wai¹,

Cheah²,

Khairuddin³

et al. 2021

JOIV : Int. J. Inform. Visualization

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Agent based simulation (ABS) is a paradigm to modelling systems included of autonomous and interacting agents. ABS has been tremendous growth and used by researchers in the social sciences to study socio-environmental complex systems. To date, various platforms have been introduced for agent-based social simulation. They are rule based in any logic, python based in SPADE and etc. Although those platforms have been introduced, there is still an insufficient to develop a crowd simulation in 3D platform. Having a 3D platform is needed to enabling the crowd simulation for training purposes. However, the current tools and platform still lack features to develop and simulate autonomous agents in the 3D world. This paper introduced a BDI plug in at Unity3D for crowd simulation. BDI is an intelligent agent architecture and it is able to develop autonomous agents in crowd environment. In this paper, we present the BDI plug with a case study of Australia bush fire and discuss a method to support autonomous agents' development in 3D crowd simulation. The tool allows the modeller to develop autonomous agents in 3D world by taking the advantages of Unity3D.

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Section: Methodsmentioning

confidence: 99%

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Wai¹,

Cheah²,

Khairuddin³

et al. 2021

JOIV : Int. J. Inform. Visualization

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“…The benefits of using AOM are to document how the agent achieves the goal and how the agent behaves in a different situation, as elaborated in the following section. To date, AOM has been adopted in 3D simulation [19], video surveillance [20], emotion application [21], games [22].…”

Section: A Related Workmentioning

confidence: 99%

Agent-Oriented Modelling for Blockchain Application Development: Feasibility Study

LiBin

Cheah

Khairuddin

et al. 2021

JOIV : Int. J. Inform. Visualization

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Blockchain application development has received much attention nowadays. As development is complex and challenging, a systematic approach is needed to improve the product, services, and process quality. Despite the introduction of techniques, there are still inadequate models for demonstrating the blockchain's internal architecture. Hence, there is a gap when developing the blockchain application, a gap in the modelling environment of a blockchain development application. This paper introduces a new insight into blockchain application development through Agent-Oriented Modelling (AOM). AOM is a methodology for complex socio-technical system development, and we believe that it can reduce the complexity of implementing the blockchain application. In this paper, the AOM is used to model a blockchain-based "win a fortune" system, which includes smart contract development. It showcases the feasibility of adopting AOM to model a blockchain enabling application. A usability survey among the novices has further validated the usability and benefits of AOM in the blockchain enabling application development.

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“…A Restaurant Finding MAS is a multiagent system where an agent makes a restaurant booking on behalf of the users. We have adopted the AOM methodology (as have also in other works–) to model the system and to integrate the patterns during the MAS development. Moreover, AOM is chosen as it is a comprehensive methodology that complies with the model‐driven architecture and is suited to model complex systems …”

Section: Reusability Of Pattern Classification In Restaurant Finding mentioning

confidence: 99%

Ontology reuse for multiagent system development through pattern classification

et al. 2018

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Summary Ontologies play a crucial role in multiagent systems (MASs) development, especially for domain knowledge modeling, interaction specifications, and behavioral aspect representation. Domain‐specific ontologies can be developed in an ad hoc or systematic manner through the incorporation of ontology development steps on the basis of agent‐oriented methodologies. Developing such ontologies, however, is challenging because of the extensive amounts of knowledge and experience required. Moreover, since many ontologies cater for very specific domains, the question arises of whether some can be reused for faster systems development. This paper attempts to answer this question by proposing an ontology pattern classification scheme to allow the reuse of existing ontology knowledge for MAS development. Specifically, ontology patterns relevant to the design problem at hand are identified through the pattern classification scheme. These patterns are then reused and shared among agent software communities during the system development phase. The effectiveness of the proposed approach is validated using a restaurant‐finder MAS case study. Our findings suggest that utilization of the classified ontology patterns reduces development time and complexity when dealing with domain‐specific applications. The scheme also seems useful for software practitioners, where searching and reusing the patterns can easily be done during the analysis, design, and implementation of MAS development.

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Developing Agent-Oriented Video Surveillance System through Agent-Oriented Methodology (AOM)

Cited by 10 publications

References 29 publications

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Agent-Oriented Modelling for Blockchain Application Development: Feasibility Study

Ontology reuse for multiagent system development through pattern classification

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