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SmartResource Platform and Semantic Agent Programming Language (S-APL)

  • Artem Katasonov
  • Vagan Terziyan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4687)

Abstract

Although the flexibility of agent interactions has many advantages when it comes to engineering a complex system, the downside is that it leads to certain unpredictability of the run-time system. Literature sketches two major directions for search for a solution: social-level characterization of agent systems and ontological approaches to inter-agent coordination. Especially the latter direction is not yet studied much by the scientific community. This paper describes our vision and the present state of the SmartResource Platform. The main distinctive features of the platform are externalization of behavior prescriptions, i.e. agents access them from organizational repositories, and utilization of the RDF-based Semantic Agent Programming Language (S-APL), instead of common Prolog-like languages.

Keywords

Multiagent System Behavior Model Behavior Rule Main Distinctive Feature Behavior Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Artem Katasonov
    • 1
  • Vagan Terziyan
    • 1
  1. 1.Agora Center, University of Jyväskylä, P.O. Box 35, FIN-40014, JyväskyläFinland

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