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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Measuring Complexity for MAS Design in the Presence of Ontology Heterogeneity
verfasst von : Maricela Bravo
Erschienen in: Semantic Agent Systems
Verlag: Springer Berlin Heidelberg
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Currently multiple agent-based solutions are being integrated and deployed to solve complex problems. This is possible because of the evolution of information technologies, such as Internet-based open standards, XML-based languages, protocols and middleware. However, one of the challenges that has to be tackled is to overcome inter-agent ontology communication heterogeneity. This chapter gives an overview of multi-agent systems (MAS) communication challenges, with special stress on the ontology heterogeneity problem. A set of measures are presented to give the MAS designer the key design guidelines and important considerations when selecting an architectural solution approach to overcome heterogeneity of the set of agents participating in the communication scenario. An overview of current solutions is discussed, analyzing the important aspects to consider for each solution approach. Finally, a comparison with various MAS examples is presented to observe the differences between architectures and their associated costs.