Estimating Stability for Efficient Argument-based Inquiry
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2020
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Abstract
We study the dynamic argumentation task of detecting stability: given a specific structured argumentation setting, can adding information change the acceptability status of some propositional formula? Detecting stability is not tractable for every input, but efficient computation is essential in practical applications. We present a sound approximation algorithm that recognises stability for many inputs in polynomial time and we discuss several of its properties. In particular, we show under which constraints on the input our algorithm is complete. The proposed algorithm is currently applied for fraud inquiry at the Dutch National Police - we provide an English demo version that also visualises the output of the algorithm.
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Odekerken, D, Borg, A & Bex, F J 2020, Estimating Stability for Efficient Argument-based Inquiry. in Computational Models of Argument. Proceedings of COMMA 2020. Frontiers in Artificial Intelligence and Applications, IOS Press, pp. 307-318. https://doi.org/10.3233/FAIA200514