Using ASEME Methodology for Model-Driven Agent Systems Development

Spanoudakis, Nikolaos I.; Moraïtis, Pavlos

doi:10.1007/978-3-642-22636-6_7

Cited by 23 publications

(24 citation statements)

References 20 publications

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“…Gaia [6], SODA [7], ADELFE [8], Prometheus [9], INGENIAS [10], Tropos [11], PASSI [12], ASEME [13], and O-MaSE [5] are, among others, the well-known MAS engineering methodologies. The notion role is used by most of the aforementioned engineering methodologies except Prometheus and ADELFE.…”

Section: A Methodologiesmentioning

confidence: 99%

Role Modeling for Adaptive Multiagent Systems Engineering

Lhaksmana

Murakami

Ishida

2013

2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

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The future of computing systems is leading to a growing complexity of heterogeneous computing systems integration situated in highly dynamic and uncertain environment. Selforganization has been proposed to be one of the solutions due to its autonomous capability to govern itself and to adapt upon changes. Developing self-organizing systems requires a suitable modeling method because of its unique characteristics, such as self-adaptive, decentralized, and emergent. Existing multiagent systems engineering methodologies lack modeling methods to design behavior adaptation for self-organizing systems. This paper proposes a role modeling method that allows designers to model how agents perform behavior adaptation at runtime by making transitions from one set of roles to another in decentralized manner. The behavior adaptation of each individual agent may eventually emerge as the adaptation of the organization. The proposed modeling method also helps designers to analyze issues that may occur because of playing multiple roles, such as role conflict, role overload, role transition oscillation, and other common issues in concurrency.

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Section: A Methodologiesmentioning

confidence: 99%

Role Modeling for Adaptive Multiagent Systems Engineering

Lhaksmana

Murakami

Ishida

2013

2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

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“…The AI2MS development starts with the GAIA2JADE process [15], but now a model driven methodology, ASEME [16] is been evaluated.…”

Section: B System Modelling and Implementationmentioning

confidence: 99%

Artificial Immune Intelligent Maintenance System

Zuccolotto

2014

2014 12th IEEE International Conference on Industrial Informatics (INDIN)

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“…The choice of MDE is justified also by its benefits (know-how durability, productivity grain and heterogeneous platforms consideration), which explain its adoption in many works on various fields, including MAS, as in AMDD for INGENIAS , MDAD (Jarraya et al, 2007), ASPECS (Cossentino et al, 2009) and ASEME (Spanoudakis et al, 2010). In addition using MDE may facilitate the mobile agent moves across heterogeneous platforms: rather than sending the agent's code, we send its model which can be transformed into code on target sites.…”

Section: Related Workmentioning

confidence: 99%

Towards an MDE Methodology to Develop Multi-Agents Systems including Mobile Agents

Gherbi

Borne

Meslati

2013

Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering

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There is a need for agent oriented software engineering methodologies that support the conceptual modeling of mobile-agents systems. For this reason, we have presented in a previous work, our meta-model to design multi-agents systems including mobile agents and we have discussed it versus some formalisms extending UML for mobile-agents modeling. The proposed meta-model serves as a platform independent meta-model in our model-driven engineering approach under elaboration as a methodology for the development of multi-agents systems including mobile-agents. This paper summarizes the different approaches for mobileagent modeling and situates our meta-model particularly versus three works supporting mobility by extending a multi-agents systems methodology (MaSE, GAIA, and AALAADIN). It aims to justify the choices that have guided our meta-model construction.

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Using ASEME Methodology for Model-Driven Agent Systems Development

Cited by 23 publications

References 20 publications

Role Modeling for Adaptive Multiagent Systems Engineering

Role Modeling for Adaptive Multiagent Systems Engineering

Artificial Immune Intelligent Maintenance System

Towards an MDE Methodology to Develop Multi-Agents Systems including Mobile Agents

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