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Semantic Modelling in Agent-Based Software Development

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Autonomous Intelligent Systems: Multi-Agents and Data Mining (AIS-ADM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4476))

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Abstract

To facilitate automated agent-based software development and to support high effective and low cost selection, adaptation and integration of required functionality extensions into existing multi-agent software systems, we present our semantic modelling approach. It defines a structured annotation process, proposing concepts, techniques and a methodical support for the formal description of static and dynamic semantic information of software agents and their services emerging from heterogeneous environments. This information is organized by description patterns which are – according to our Logic-on-Demand concept – based on a variety of inference mechanisms which offer variability in expressiveness, reasoning power and the required analysis depth for the identification of agent properties and qualities.

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References

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Vladimir Gorodetsky Chengqi Zhang Victor A. Skormin Longbing Cao

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© 2007 Springer Berlin Heidelberg

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Graubmann, P., Roshchin, M. (2007). Semantic Modelling in Agent-Based Software Development. In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds) Autonomous Intelligent Systems: Multi-Agents and Data Mining. AIS-ADM 2007. Lecture Notes in Computer Science(), vol 4476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72839-9_8

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  • DOI: https://doi.org/10.1007/978-3-540-72839-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72838-2

  • Online ISBN: 978-3-540-72839-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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