Abstract
Standard debugging techniques, like sequential tracing, fail in answer set programming due to its purely declarative approach. We address this problem by means of the graph-oriented computational model underlying the noMoRe system. Although this is no generic solution, it offers a way to make the computation of answer sets transparent within the noMoRe framwork. Apart from the visualization of answer sets in terms of their generating rules, the computation can be animated in different ways.
Cite
CITATION STYLE
Bösel, A., Linke, T., & Schaub, T. (2004). Profiling answer set programming: The visualization component of the noMoRe system. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3229, pp. 702–705). Springer Verlag. https://doi.org/10.1007/978-3-540-30227-8_61
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