Zagzebski on Rationality

Kant on the Rationality of Moral Judgment

On rationality and learning

Much work in machine learning views learning primarily as a process of representation. We propose instead to view learning as the rational interpretation of experience. This provides a unifying, precise framework that illuminates both the strengths and weaknesses of current learning methods and the possibilities for uniformly mechanizing different types of learning. This research was supported ...

On randomized rationality

In contrast to the traditional notion of rationalizability of stochastic choice which requires the preference relations to be strict, we propose a notion of rationalizability without requiring the preference relations to be strict. Our definition is based on the simple hypothesis of a two stage choice process: stage (i) a preference relation R is drawn according to a probability assignment; sta...

On Automated Agents’ Rationality

Agents that interact with humans are known to benefit from integrating behavioral science and exploiting the fact that humans are irrational. Therefore, when designing agents for interacting with automated agents, it is crucial to know whether the other agents are acting irrationally and if so to what extent. However, little is known about whether irrationality is found in automated agent desig...

Perspectives on Bounded Rationality

Economists have for long expressed dissatisfaction with the complex models of strict rationality that are so pervasive in economic theory. There are several objections to such models. First~ casual empiricism or even just simple introspection lead to the conclusion that even in quite simple decision problems, most economic agents are not in fact maximizers, in the sense that they do not scan th...