Abstract
Dung-style abstract argumentation theory centers on argumentation frameworks and acceptance functions. The latter take as input a framework and return sets of labelings. This methodology assumes full awareness of the arguments relevant to the evaluation. There are two reasons why this is not satisfactory. Firstly, full awareness is, in general, not a realistic assumption. Second, frameworks have explanatory power, which allows us to reason abductively or counterfactually, but this is lost under the usual semantics. To recover this aspect, we generalize conventional acceptance, and we present the concept of a conditional acceptance function. © 2012 The authors and IOS Press. All rights reserved.
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Booth, R., Kaci, S., Rienstra, T., & Van Der Torre, L. (2012). Conditional acceptance functions. In Frontiers in Artificial Intelligence and Applications (Vol. 245, pp. 470–477). IOS Press BV. https://doi.org/10.3233/978-1-61499-111-3-470
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