> The papers in this volume are the contributions to a special workshop on problems in communication and computation conducted in 1984--1986. The structure of this workshop was unique: no recent results. no surveys. Instead. we asked for outstanding open problems in the field. There are many famous open problems, including the question P =? NP, the simplex conjecture in communication theory, the capacity region of the broadcast channel. and the two-helper problem in information theory.
> Beyond these well-defined problems are certain grand research goals. What is the general theory of information flow in stochastic networks? What is a comprehensive theory of computational complexity? What about a unification of algorithmic complexity and computational complexity? Is there a notion of energy-free computation? And if so, where do information theory, communication theory, computer science, and physics meet at the atomic level? Is there a duality between computation and communication? Finally. what is the ultimate impact of algorithmic complexity on probability theory? And what is its relationship to information theory?
> The idea was to present problems on the first day. try to solve them on the second day, and present the solutions on the third day. In actual fact, only one problem was solved during the meeting ...
> The papers in this volume are the contributions to a special workshop on problems in communication and computation conducted in 1984--1986. The structure of this workshop was unique: no recent results. no surveys. Instead. we asked for outstanding open problems in the field. There are many famous open problems, including the question P =? NP, the simplex conjecture in communication theory, the capacity region of the broadcast channel. and the two-helper problem in information theory.
> Beyond these well-defined problems are certain grand research goals. What is the general theory of information flow in stochastic networks? What is a comprehensive theory of computational complexity? What about a unification of algorithmic complexity and computational complexity? Is there a notion of energy-free computation? And if so, where do information theory, communication theory, computer science, and physics meet at the atomic level? Is there a duality between computation and communication? Finally. what is the ultimate impact of algorithmic complexity on probability theory? And what is its relationship to information theory?
> The idea was to present problems on the first day. try to solve them on the second day, and present the solutions on the third day. In actual fact, only one problem was solved during the meeting ...