Abstract
This paper presents RAMSES, a framework for easily specifying agent-based discrete event models entailing both environment and agent entities. RAMSES offers parallel execution capabilities based on speculative event processing and an innovative software reversibility technique that copes with state restore in case the run slides along a nonconsistent speculative path. Reversibility in RAMSES relies on transparent static software instrumentation, thus allowing the model developer to concentrate on the actual forward-execution logic of the simulation events occurring in the system. An experimental assessment of RAMSES is also presented, which is aimed at determining its run-time effectiveness and its potential for simplifying the development of agent-based models when compared to other (general purpose) speculative frameworks for parallel discrete event simulation.
Cite
CITATION STYLE
Cingolani, D., Pellegrini, A., & Quaglia, F. (2015). RAMSES: Reversibility-based agent modeling and simulation environment with speculation-support. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9523, pp. 466–478). Springer Verlag. https://doi.org/10.1007/978-3-319-27308-2_38
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