Abstract
The use of meta-rules, i.e., rules whose content includes other rules, has been advocated to model policies and the notion of power in legal reasoning, where an agent has the power to create new norms affecting other agents. The use of Defeasible Logic (DL) to model meta-rules in the application area we just alluded to has been investigated, but not from a computational viewpoint. Our aim is to fill this gap by introducing a variant of DL, Defeasible Meta-Logic, to represent defeasible meta-theories, by proposing efficient algorithms to compute the (meta-)extensions of such theories, and by proving their computational complexity.
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Notes
- 1.
The strong negation principle applies the function that simplifies a formula by moving all negations to an inner most position in the resulting formula, and replaces the positive tags with the respective negative tags, and the other way around see [15].
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Olivieri, F., Governatori, G., Cristani, M., Sattar, A. (2021). Computing Defeasible Meta-logic. In: Faber, W., Friedrich, G., Gebser, M., Morak, M. (eds) Logics in Artificial Intelligence. JELIA 2021. Lecture Notes in Computer Science(), vol 12678. Springer, Cham. https://doi.org/10.1007/978-3-030-75775-5_6
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