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Notes on Pragmatic Agent-Programming with Jason

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 7217)

Abstract

AgentSpeak(L), together with its implementation Jason, is one of the most influential agent-oriented programming languages. Besides having a strong conceptual influence on the niche of BDI-inspired agent programming systems, Jason also serves as one of the primary tools for education of and experimentation with agent-oriented programming. Despite its popularity in the community, relatively little is reported on its practical applications and pragmatic experiences with adoption of the language for non-trivial applications.

In this paper, we present our experiences gathered during an experiment aimed at development of a non-trivial case-study agent application by a novice Jason programmer. In our experiment, we tried to use the programming language as is, with as few customisations of the Jason interpreter as possible. Besides providing a structured feedback on the most problematic issues faced while learning to program in Jason, we informally propose a set of ideas for solving the encountered design problems and programming language issues.

Keywords

  • Multiagent System
  • Belief Base
  • Path Planning Algorithm
  • Agent Programming Language
  • Formation Alignment

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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Píbil, R., Novák, P., Brom, C., Gemrot, J. (2012). Notes on Pragmatic Agent-Programming with Jason . In: Dennis, L., Boissier, O., Bordini, R.H. (eds) Programming Multi-Agent Systems. ProMAS 2011. Lecture Notes in Computer Science(), vol 7217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31915-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-31915-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31914-3

  • Online ISBN: 978-3-642-31915-0

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