CORDIS Project
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This project investigates how agents categorize decision problems, particularly in games, and how these categorizations influence predictions in Game Theory. It aims to develop a framework for understanding learned categorizations, with applications in economics and biology.
In this proposal we aim to study the twin questions of a) how agents categorize decision problems (and in particular games) according to their similarity and b) how this categorization affects standard predictions in Game Theory.
The most important contribution to the literature is that we endogenize the question of categorization, assuming that categorizations can be learned.
Existing literature is characterized by making sometimes ad hoc assumptions on categorizations.
Initial results have alr…
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