Abstract
AbstractConsumer preference studies in economics rest heavily on the behavioural interpretation of preference especially in the form of Revealed Preference Theory (RPT). Viewing purchasing decisions as a species of human reasoning, in this paper we are interested in generalising behaviourism to preference-based argumentation where existing frameworks are universally governed by the opposing mentalistic interpretation of preference. Concretely we re-construct and unify two main approaches to RPT then develop a so-called Revealed Preference Argumentation (RPA) framework which identifies preference as observed reasoning behaviour of an agent. We show that RPA subsumes RPT, by showing that key RPT-based consumer analyses can be translated to and solved as RPA computational tasks. It is argued that RPA may pave the way for future applications of argumentation to behavioural economics.
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