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Modeling decisions in the context of incomplete knowledge is a challenging problem. We argue that none of the existing formalisms for modeling decisions are capable of correctly capturing the epistemic nature of such decisions. This paper presents a new language for modeling decisions with incomplete knowledge combining three principles: stratification, autoepistemic logic, and definitions.
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Marković et al. (2024) studied this question.
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