Abstract
Reactiveness and performance are important features of Multi-Agent Systems (MAS) and the underlying execution platform has a direct impact on them. These features can be improved by properly exploiting the parallelism provided by multi-core architectures and related parallel hardware. In this paper, we take Jason as a reference for BDI agents and analyze its execution platform according to its concurrency features. Our aim is to modify the Jason reasoning cycle to introduce a concurrent architecture for individual agents. We experimentally evaluate the benefits and drawbacks of the new Jason reasoning cycle.
The authors are grateful for the support given by CNPq and CAPES (PDSE), grants 140261/2013-3, 448462/2014-1, and 306301/2012-1.
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Notes
- 1.
For concurrency configuration we mean the set of concurrency features, including their parameters, that are used to run the MAS.
- 2.
More details about Jason can be also found at http://jason.sf.net/.
- 3.
The term deed is used in the same form as in [7]. It refers to the kinds of formulae that appear in a plan body.
- 4.
Experiment parameters are dimensioned according to the available computer hardware. More powerful computers will be used in the future.
- 5.
The response time is the elapse time for an agent to complete the execution of an intention.
- 6.
The response time for fib(30) adopting the asynchronous reasoning cycle (C3) was 204117 ms, however we omitted from the graphic to let it readable to compare the other two configurations.
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Zatelli, M.R., Ricci, A., Hübner, J.F. (2016). A Concurrent Architecture for Agent Reasoning Cycle Execution in Jason. In: Rovatsos, M., Vouros, G., Julian, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015 2015. Lecture Notes in Computer Science(), vol 9571. Springer, Cham. https://doi.org/10.1007/978-3-319-33509-4_33
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