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- W2122987296 endingPage "387" @default.
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- W2122987296 abstract "Open distributed multi-agent systems are gaining interest in the academic community and in industry. In such open settings, agents are often coordinated using standardized agent conversation protocols. The representation of such protocols (for analysis, validation, monitoring, etc) is an important aspect of multi-agent applications. Recently, Petri nets have been shown to be an interesting approach to such representation, and radically different approaches using Petri nets have been proposed. However, their relative strengths and weaknesses have not been examined. Moreover, their scalability and suitability for different tasks have not been addressed. This paper addresses both these challenges. First, we analyze existing Petri net representations in terms of their scalability and appropriateness for overhearing, an important task in monitoring open multi-agent systems. Then, building on the insights gained, we introduce a novel representation using Colored Petri nets that explicitly represent legal joint conversation states and messages. This representation approach offers significant improvements in scalability and is particularly suitable for overhearing. Furthermore, we show that this new representation offers a comprehensive coverage of all conversation features of FIPA conversation standards. We also present a procedure for transforming AUML conversation protocol diagrams (a standard human-readable representation), to our Colored Petri net representation." @default.
- W2122987296 created "2016-06-24" @default.
- W2122987296 creator A5010325150 @default.
- W2122987296 creator A5012168199 @default.
- W2122987296 date "2006-03-16" @default.
- W2122987296 modified "2023-10-17" @default.
- W2122987296 title "Representing Conversations for Scalable Overhearing" @default.
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- W2122987296 doi "https://doi.org/10.1613/jair.1829" @default.
- W2122987296 hasPublicationYear "2006" @default.
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