Abstract
Jason is a well-known programming language for multiagent systems where fine-grained concurrency primitives allow a highly-concurrent efficient execution. However, typical concurrency errors such as race conditions are hard to avoid. In this chapter, we analyze a number of such potential pitfalls of the Jason concurrency model, and, describe both how such risks can be mitigated in Jason itself, as well as discussing the alternatives implemented in eJason, an experimental extension of Jason with support for distribution and fault tolerance. In some cases, we propose changes in the standard Jason semantics.
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Acknowledgments
This work has been partially funded by the Spanish MINECO project TIN2012-39391-C04-02 STRONGSOFT, and the Madrid Regional Government grant S2013/ICE-2731 N-GREENS. The authors would also like to thank Rafael H. Bordini for his useful comments.
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Fernández Díaz, Á., Benac Earle, C., Fredlund, LÅ. (2019). Pitfalls of Jason Concurrency. In: Weyns, D., Mascardi, V., Ricci, A. (eds) Engineering Multi-Agent Systems. EMAS 2018. Lecture Notes in Computer Science(), vol 11375. Springer, Cham. https://doi.org/10.1007/978-3-030-25693-7_2
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DOI: https://doi.org/10.1007/978-3-030-25693-7_2
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