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Panel: Methodologies for multi-agent systems

Authors: David Kinny; Jan Treur; Les Gasser; Steve Clark; Jörg P. Müller;

Panel: Methodologies for multi-agent systems

Abstract

Multi-Agent Systems technologies are migrating from research labs to software engineering centres. If these technologies are to realize their potential, it will become increasingly important to develop and employ methodologies, accessible to software engineers, for specifying, analysing, designing, and verifying multi-agent systems. The panelists, who represented a broad range of approaches and experience in MAS theory and practice, addressed the following questions. What can we learn from existing software and knowledge engineering methodologies, such as object-oriented approaches? How can they be adapted and extended to apply to agent-based systems? How should MAS design and specification methodologies address the proliferation of MAS architectures and application environments? Is there any prospect of generic approaches? How important are efforts to standardize various aspects of MAS technology? What techniques and tools are needed to support agent-oriented design and development? What approaches, formal and practical, will allow us to verify and diagnose large-scale MAS applications? What can we learn from related domains, such as real-time and distributed systems?.

Country
Netherlands
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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