AIJan 17, 2018

A formal framework for deliberated judgment

arXiv:1801.05644v2
AI Analysis

This work addresses the problem of enhancing decision theory with argument-based rationality for decision-makers and decision aid practitioners, though it appears incremental as it builds on existing philosophical ideas.

The authors tackled the gap between philosophical studies of arguments in decision-making and decision theory's focus on preferences and beliefs by developing a formal framework to integrate arguments and argumentation into decision theory and decision aid, resulting in a concept of deliberated judgment with normative and empirical foundations.

While the philosophical literature has extensively studied how decisions relate to arguments, reasons and justifications, decision theory almost entirely ignores the latter notions and rather focuses on preference and belief. In this article, we argue that decision theory can largely benefit from explicitly taking into account the stance that decision-makers take towards arguments and counter-arguments. To that end, we elaborate a formal framework aiming to integrate the role of arguments and argumentation in decision theory and decision aid. We start from a decision situation, where an individual requests decision support. In this context, we formally define, as a commendable basis for decision-aid, this individual's deliberated judgment, popularized by Rawls. We explain how models of deliberated judgment can be validated empirically. We then identify conditions upon which the existence of a valid model can be taken for granted, and analyze how these conditions can be relaxed. We then explore the significance of our proposed framework for decision aiding practice. We argue that our concept of deliberated judgment owes its normative credentials both to its normative foundations (the idea of rationality based on arguments) and to its reference to empirical reality (the stance that real, empirical individuals hold towards arguments and counter-arguments, on due reflection). We then highlight that our framework opens promising avenues for future research involving both philosophical and decision theoretic approaches, as well as empirical implementations.

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