Introduction

Contents

With too little information, reasoning and learning systems cannot work effectively. Surprisingly, too much information can also cause the performance of these systems to degrade, in terms of both accuracy and efficiency. It is therefore important to determine what information must be preserved, i.e., what information is "relevant". This, the AAAI Fall Symposium on "Relevance", was inspired by the recent flurry of interest in this topic in a number of different communities.