Object-oriented development: the fusion method
Object-oriented development: the fusion method
On agent-based software engineering
Artificial Intelligence
Agent-oriented software engineering for Internet agents
Coordination of Internet agents
Evaluation of modeling techniques for agent-based systems
Proceedings of the fifth international conference on Autonomous agents
ROADMAP: extending the gaia methodology for complex open systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
CommonKADS: A Comprehensive Methodology for KBS Development
IEEE Expert: Intelligent Systems and Their Applications
The Vision of Autonomic Computing
Computer
A Methodology for Developing Agent Based Systems
Proceedings of the First Australian Workshop on DAI: Distributed Artificial Intelligence: Architecture and Modelling
The CoMoMAS Methodology and Enironment for Multi-Agent System Development
Revised Papers from the Second Australian Workshop on Distributed Artificial Intelligence: Multi-Agent Systems: Methodologies and Applications
Analysis and Design of Multiagent Systems Using MAS-Common KADS
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Understanding Agent Systems
Online Control for Self-Management in Computing Systems
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Computer
The dawning of the autonomic computing era
IBM Systems Journal
A Multi-Agent Systems Approach to Autonomic Computing
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Self-Managing Systems: A Control Theory Foundation
ECBS '05 Proceedings of the 12th IEEE International Conference and Workshops on Engineering of Computer-Based Systems
An Architectural Approach to Autonomic Computing
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Emergence: A Paradigm for Robust and Scalable Distributed Applications
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Applying a UML-based agent modeling language to the autonomic computing domain
Companion to the 21st ACM SIGPLAN symposium on Object-oriented programming systems, languages, and applications
Why Applying Agent Technology to Autonomic Computing?
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
Towards autonomic computing systems
Engineering Applications of Artificial Intelligence
AOSE'04 Proceedings of the 5th international conference on Agent-Oriented Software Engineering
Grassroots approach to self-management in large-scale distributed systems
UPP'04 Proceedings of the 2004 international conference on Unconventional Programming Paradigms
AFAWS: An Agent based Framework for Autonomic Web Services
Multiagent and Grid Systems - Development of service-based and agent-based computing systems
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Autonomic computing is being described as a new paradigm for computing. But in order to become a new paradigm, robust and easy-to-use methodologies and tools have to be developed. In this paper, we take a significant step towards this goal by proposing an agent-based methodology to autonomic computing systems. Starting from the recently realized fact that agent technology has the potential to be integrated into the framework of autonomic computing, we propose to adapt the agent based methodology Gaia for the analysis and the design of autonomic computing systems. Gaia adapted considers system's organization as made up with two subsystems organizations namely a managed system organization and an autonomic manager organization, which stand in certain relationships to one another. The key concepts in Gaia adapted are roles which take two forms namely basic roles and autonomic roles, that can interact with one another in certain institutionalized ways, which are defined in the autonomic interaction model.