Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
ROADMAP: extending the gaia methodology for complex open systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
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AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Customizing AOSE methodologies by reusing AOSE features
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
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Proceedings of the 27th international conference on Software engineering
Guiding agent-oriented requirements elicitation: HOMER
QSIC '05 Proceedings of the Fifth International Conference on Quality Software
Analysis of multi-agent systems based on KAOS modeling
Proceedings of the 28th international conference on Software engineering
From Task to Agent-Oriented Meta-models, and Back Again
HCSE-TAMODIA '08 Proceedings of the 2nd Conference on Human-Centered Software Engineering and 7th International Workshop on Task Models and Diagrams
Engineering Adaptive Multi-Agent Systems with ODAM Methodology
Agent Computing and Multi-Agent Systems
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International Journal of Agent-Oriented Software Engineering
IMPULSE: a design framework for multi-agent systems based on model transformation
Proceedings of the 2011 ACM Symposium on Applied Computing
A systematic methodology for adaptive systems in open environments
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
A dedicated approach for developing agent interaction protocols
PRIMA'04 Proceedings of the 7th Pacific Rim international conference on Intelligent Agents and Multi-Agent Systems
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In this paper, we introduce the ROADMAP meta-model, designed to describe intelligent adaptive multi-agent systems in open environments. The meta-model captures our understanding of the properties of such systems and our perspective on organizational concepts such as roles. It defines agent constructs such as agents and roles, and their inter-relationships such as aggregation, in a way that best facilitates the development of intelligent adaptive systems in open environments.We intend to use the meta-model for knowledge sharing. We expect developers of AOSE methodologies, tools, programming languages and frameworks to benefit from understanding the design and structure of the ROADMAP meta-model. By adopting the meta-model, the resulting methodologies, tools and languages should inherit its desirable characteristics and better support the development of intelligent adaptive systems in open environments.