\documentclass[a4paper]{article} \usepackage{amssymb} \pagestyle{empty} \hoffset=-40pt \voffset=-20pt \textwidth 15.3cm \textheight 22cm % to fit our printers \begin{document} \begin{center}{\huge Ten Years of Bounded Queries in}\end{center} \begin{center}{\huge Computability Theory}\end{center} \begin{center}{\large Bill Gasarch}\end{center} \begin{center}{\large The University of Maryland at College Park}\end{center} \bigskip For the last ten years there has been research on the following question: How many queries (to various oracles) are required to solve problems (of various sorts). Here is a sample of the kinds of questions we have asked and (mostly) answered. 1) Let $A$ be a set. Given $n$ numbers clearly we can deterine WHICH ONES are in $A$ with $n$ queries to $A$. For which $A$ can we do better? How well can we do? 2) Let $A$ be a set. Given $n$ numbers clearly we can deterine HOW MANY of them are in $A$ For which $A$ can we do better? How well can we do? 3) Let $A$ be a set. Given $n$ numbers clearly we can deterine if the number that are in $A$ is EVEN OF ODD. For which $A$ can we do better? How well can we do? 4) For which sets $A$ are there functions that can be computed with $n$ queries to $A$ that cannot be computed with $n-1$ queries to $A$. 5) Are there sets that can be decided with $n$ queries to $A$ that cannot be computed with $n-1$ queries All of these questions can be varied by considering parallel queries, sequential queries, and queries to sets other than $A$. Techniques in this field have been a blend of combinatorics and recursion theory. \end{document}