Abstract
Argumentation in AI provides an inconsistency-tolerant formalism capable of establishing those pieces of knowledge that can be warranted despite having information in contradiction. Computation of warrant tends to be expensive; in order to alleviate this issue, we propose a heuristics-based pruning technique over dialectical trees. Empirical testing shows that in most cases our approach answers queries much faster than the usual techniques, which prune with no guide.
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Rotstein, N.D., Gottifredi, S., García, A.J., Simari, G.R. (2011). A Heuristics-Based Pruning Technique for Argumentation Trees. In: Benferhat, S., Grant, J. (eds) Scalable Uncertainty Management. SUM 2011. Lecture Notes in Computer Science(), vol 6929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23963-2_15
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DOI: https://doi.org/10.1007/978-3-642-23963-2_15
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