Multi-Agent System Overview: Architectural Designing using Practical Approach

Khozium, Mohamed Osama

doi:10.24297/ijct.v5i2.3527

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…The first is the methodologies that are based on the development of objectoriented software engineering techniques and their adaptation to the agent's perspective. These methodologies are Gaia, multi-agent system engineering: MaSE [16,17]. MESSAGE [13].…”

Section: -Agent Tool Methodology Designmentioning

confidence: 99%

“…MaSE methodology [28] MaSE is one of the software engineering methodologies for the operating system based on the operating system [10]. Which, in seven steps, passes through the stages of analysis and design, the software engineer implements the problemto-implementation definition [16,17]. With the support of the agent-Tool tool that covers all stages of analysis and design and enables the production of code automatically [16,17].…”

Section: -Agent Tool Methodology Designmentioning

confidence: 99%

“…Which, in seven steps, passes through the stages of analysis and design, the software engineer implements the problemto-implementation definition [16,17]. With the support of the agent-Tool tool that covers all stages of analysis and design and enables the production of code automatically [16,17]. this methodology is considered one of the most important methodologies in the software engineering of agent-based systems.…”

Section: -Agent Tool Methodology Designmentioning

confidence: 99%

“…In order to achieve this, the BDI agent considers a set of options and chooses one or more of them. These options will now be operational [5,16].…”

Section: -Bdi Architecturementioning

confidence: 99%

See 3 more Smart Citations

An Agent Based Model for Developing Air Traffic Management Software

yosefzadeh¹,

Tabbakh²,

Chabok³

et al. 2022

jist

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The Air Traffic Management system is a complex issue that faces factors such as Aircraft Crash Prevention, air traffic controllers pressure, unpredictable weather conditions, flight emergency situations, airplane hijacking, and the need for autonomy on the fly. agent-based software engineering is a new aspect in software engineering that can provide autonomy. agent-based systems have some properties such: cooperation of agents with each other in order to meet their goals, autonomy in function, learning and Reliability that can be used for air traffic management systems. In this paper, we first study the agent-based software engineering and its methodologies, and then design a agent-based software model for air traffic management. The proposed model has five modules .this model is designed for aircraft ,air traffic control and navigations aids factors based on the Belief-Desire-Intention (BDI) architecture. The agent-based system was designed using the agent-tool under the multi-agent system engineering (MaSE) methodology, which was eventually developed by the agent-ATC toolkit. In this model, we consider agents for special occasions such as emergency flights" and hijacking airplanes in airport air traffic management areas which is why the accuracy of the work increased. It also made the flight"s sequence arrangement in take-off and landing faster, which indicates a relative improvement in the parameters of the air traffic management

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Section: -Agent Tool Methodology Designmentioning

confidence: 99%

Section: -Agent Tool Methodology Designmentioning

confidence: 99%

Section: -Agent Tool Methodology Designmentioning

confidence: 99%

“…In order to achieve this, the BDI agent considers a set of options and chooses one or more of them. These options will now be operational [5,16].…”

Section: -Bdi Architecturementioning

confidence: 99%

See 2 more Smart Citations

An Agent Based Model for Developing Air Traffic Management Software

yosefzadeh¹,

Tabbakh²,

Chabok³

et al. 2022

jist

View full text Add to dashboard Cite

show abstract

“…is paper's proposed platform is designed using a multiagent approach similar to the architecture defined in [22]. Khozium, in his paper, defines the software agent and reveals its characteristics by describing its construction step-by-step using the case study.…”

Section: Related Workmentioning

confidence: 99%

Cooperative Business Intelligence Model Using a Multiagent Platform

Khozium

Farooqi

2020

Scientific Programming

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Modern companies wish to utilize business intelligence (BI) to track and analyze their courses of action. Many BI applications serve this purpose at many levels, starting from documenting and charting and ending with analytics and decision support systems, which are considered a sufficient complement to consultancy and management resources. However, the contemporaneous BI software is missing two functionalities. First, although nearly all applications of the same genre use almost identical concepts, there is no unified application programming interface (API) to enable interaction. The second problem is a consequence of the first issue. Without a unified API, BI applications cannot be integrated, eliminating any possibility of establishing universal platforms for BI distributed services. Lacking these two functionalities makes developers reinvent the wheel with each new implementation. To solve these problems, we propose a platform running a multiagent business intelligence system. This system empowers the available BI resources to serve a larger segment of the BI end-user applications cooperatively. To build this system, we propose a unified model that enables distributive agent-based tasking and cooperative interaction. This allows researchers to cooperate in spreading the multiagent platform’s functionality and helps them proceed toward more detailed analysis considering agents’ construction. Moreover, it will enable BI service providers to cooperatively implement new applications and develop better solutions while maintaining a functional end-user program.

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A Comprehensive Approach for Designing Business-Intelligence Solutions with Multi-agent Systems in Distributed Environments

Qayumi

Norta

2018

Lecture Notes in Computer Science

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Multi-Agent System Overview: Architectural Designing using Practical Approach

Cited by 4 publications

References 7 publications

An Agent Based Model for Developing Air Traffic Management Software

An Agent Based Model for Developing Air Traffic Management Software

Cooperative Business Intelligence Model Using a Multiagent Platform

A Comprehensive Approach for Designing Business-Intelligence Solutions with Multi-agent Systems in Distributed Environments

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