Notes on Pragmatic Agent-Programming with Jason
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.
KeywordsMultiagent System Belief Base Path Planning Algorithm Agent Programming Language Formation Alignment
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- 1.Multi-agent programming contest 2010 (2010), http://www.multiagentcontest.org/2010
- 3.Behrens, T.M., Dix, J., Dastani, M., Köster, M., Novák, P.: MASSim: Technical Infrastructure for AgentContest Competition Series (2009), http://www.multiagentcontest.org/
- 4.Behrens, T.M., Dix, J., Dastani, M., Köster, M., Novák, P.: Multi-Agent Programming Contest (2009), http://www.multiagentcontest.org/
- 7.Bordini, R.H., Dastani, M., Dix, J., El Fallah-Seghrouchni, A.: Multi-Agent Programming Languages, Platforms and Applications. Multiagent Systems, Artificial Societies, and Simulated Organizations, vol. 15. Kluwer Academic Publishers (2005)Google Scholar
- 8.Bordini, R.H., Hübner, J.F., Wooldridge, M.: Programming Multi-agent Systems in AgentSpeak Using Jason. Wiley Series in Agent Technology. Wiley-Blackwell (2007)Google Scholar
- 9.Bratman, M.E.: Intention, Plans, and Practical Reason. Cambridge University Press (March 1999)Google Scholar
- 10.Bryson, J.J.: Intelligence by design: Principles of Modularity and Coordination for Engineering Complex Adaptive Agent. PhD thesis (2001)Google Scholar
- 12.Gemrot, J.: Joint behaviour for virtual humans. Master’s thesis, Faculty of Mathematics and Physics. Charles University, Prague (2009)Google Scholar
- 14.Jason Developers. Jason, a Java-based interpreter for an extended version of AgentSpeak (2011), http://jason.sourceforge.net/
- 17.Novák, P., Jamroga, W.: Code patterns for agent-oriented programming. In: Proceedings of the Eighth International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS, IFAAMAS (2009)Google Scholar
- 18.Pokahr, A., Braubach, L., Lamersdorf, W.: Jadex: A BDI Reasoning Engine. In: . Multiagent Systems, Artificial Societies, and Simulated Organizations, ch. 6, vol. 15, pp. 149–174 (2005)Google Scholar
- 20.Winikoff, M.: JACKTM Intelligent Agents: An Industrial Strength Platform. In: . Multiagent Systems, Artificial Societies, and Simulated Organizations, ch. 15, vol. 15, pp. 175–193 (2005)Google Scholar