A formal framework for deliberated judgment

TL;DR

This paper introduces a formal framework integrating argumentation into decision theory, emphasizing deliberated judgment to improve decision support by considering individuals' stance towards arguments.

Contribution

It develops a novel formal model of deliberated judgment that combines philosophical and empirical perspectives, enhancing decision aid methodologies.

Findings

Framework formalizes the role of arguments in decision-making

Conditions for model validity are identified and analyzed

Potential for empirical validation and practical decision aid improvements

Abstract

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.