Smalltalk-80: the language and its implementation
Smalltalk-80: the language and its implementation
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A Meta-Model for the Analysis and Design of Organizations in Multi-Agent Systems
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
A meta-model for intelligent adaptive multi-agent systems in open environments
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Developing Intelligent Agent Systems: A Practical Guide
Developing Intelligent Agent Systems: A Practical Guide
Synthesis of a generic MAS metamodel
SELMAS '05 Proceedings of the fourth international workshop on Software engineering for large-scale multi-agent systems
SIMULA 67 common base language, (Norwegian Computing Center. Publication)
SIMULA 67 common base language, (Norwegian Computing Center. Publication)
O-MaSE: a customizable approach to developing multiagent development processes
AOSE'07 Proceedings of the 8th international conference on Agent-oriented software engineering VIII
A study of some multi-agent meta-models
AOSE'04 Proceedings of the 5th international conference on Agent-Oriented Software Engineering
Use of MaSE methodology for designing a swarm-based multi-agent system
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Knowledge integration and management in autonomous systems
O-MaSE: a customisable approach to designing and building complex, adaptive multi-agent systems
International Journal of Agent-Oriented Software Engineering
Medee Method Framework: a situational approach for organization-centered MAS
Autonomous Agents and Multi-Agent Systems
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The state of the art in multi-agent research and engineering is insufficiently reflected in the state of the practice in complex distributed systems because the community has yet to demonstrate the significant benefits of using agent-oriented approaches to solve complex problems. The practitioner's view that multi-agent approaches are not technically superior to traditional approaches is understandable; for every successful multi-agent system, it is possible to envision a non-agent approach that is equally suited for the task. Agent-oriented software engineering lies directly at the heart of this problem. In order to be accepted, the agent community needs to demonstrate that they can build reliable complex, distributed systems using agent-oriented approaches that are repeatable and sound. This paper identifies three obstacles that hamper progress towards such a demonstration: the lack of a common understanding of key multi-agent concepts, the lack of a common set of notations and models, and the lack of flexible, industrial strength methods and techniques for developing multi-agent systems.