Evaluating Multi-Agent System Security using Goal/Question/Metric Approach and Fuzzy Logic

Darweesh, Sabah A.; Ebrahim, Gamal A.; Bedour, Hassan

doi:10.1109/pacrim47961.2019.8985125

2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) 2019

DOI: 10.1109/pacrim47961.2019.8985125

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Evaluating Multi-Agent System Security using Goal/Question/Metric Approach and Fuzzy Logic

Sabah A. Darweesh

Gamal A. Ebrahim

Hassan Bedour

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2020

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Flexibility measurement model of multi-agent systems

Benaboud¹,

Marir²

2020

MGS

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Flexibility is considered as one of the key objectives of agent-based technology. Despite this, we still lack a fundamental understanding of just what “flexibility in multi-agent system (MAS)” really is. Two main questions must be asked. First, how do agents and MAS achieve a high degree of flexibility? Second, what makes one agent or one MAS more flexible than others agents or others MASs? This paper addresses the answer to these two questions by proposing an ontology of the flexibility property and a mathematical measurement model for this property. The proposed ontology gives a comprehensive view of the flexibility by decomposing it on several characteristics and presents several techniques for implementing each characteristic. In addition, it relates these characteristics to MAS components. The proposed model presents a set of metrics for measuring the different characteristics of the flexibility property. The proposed metrics have been applied to JADE applications using a tool developed for this purpose.

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Flexibility measurement model of multi-agent systems

Benaboud¹,

Marir²

2020

MGS

View full text Add to dashboard Cite

show abstract

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Evaluating Multi-Agent System Security using Goal/Question/Metric Approach and Fuzzy Logic

Cited by 1 publication

References 13 publications

Flexibility measurement model of multi-agent systems

Flexibility measurement model of multi-agent systems

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