Pareto efficiency is not as compelling when people hold different beliefs as it is under common beliefs or certainty. In the present paper we propose to restrict the standard Pareto relation by imposing the following constraint: in order for one allocation to dominate another, all agents must...

We present a model of inductive inference that includes, as special cases, Bayesian reasoning, case-based reasoning, and rule-based reasoning. This unified framework allows us to examine how the various modes of inductive inference can be combined and how their relative weights change...

A decision maker has to choose one of several random variables whose distributions are not known. As a Bayesian, she behaves as if she knew the distributions. In this paper we suggest an axiomatic derivation of these (subjective) distributions, which is more economical than the derivations by de...

This paper suggests that decision-making under uncertainty is, at least partly, case-based. The authors propose a model in which cases are primitive and provide a simple axiomatization of a decision rule that chooses a 'best' act based on its past performance in similar cases. Each act is...

People may be surprised to notice certain regularities that hold in existing knowledge they have had for some time. That is, they may learn without getting new factual information. We argue that this can be partly explained by computational complexity. We show that, given a knowledge base,...