Abstract
This paper formalizes argument-based reasoning for actions supported by believable reasons in terms of nonmonotonic consequences and desirable reasons in terms of Pareto optimality and maximizing social welfare functions. Our unified approach gives a four-layer practical argumentation framework structured with a propositional modal language with defaults and defeasible inference rules associated with practical reasoning. We show that the unified argument-based reasoning justifies an argument whose conclusion is supported by Pareto optimal, social welfare maximizing and nonmonotonic consequence reasons. Our formalization contributes to extend argument-based reasoning so that it can formally combine reasoning about logical believability and social desirability by benefiting from economic notions.
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Kido, H., Nitta, K. (2011). Toward Justifying Actions with Logically and Socially Acceptable Reasons. In: Batyrshin, I., Sidorov, G. (eds) Advances in Artificial Intelligence. MICAI 2011. Lecture Notes in Computer Science(), vol 7094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25324-9_5
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DOI: https://doi.org/10.1007/978-3-642-25324-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25323-2
Online ISBN: 978-3-642-25324-9
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