Much of biology works by applying prior knowledge (`what is known') to an unknown entity, rather than the application of a set of axioms that will elicit knowledge. In additi...
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
In this paper, we consider wide-area backbone networks where multiple connection-oriented guaranteed services with differing bandwidth/flow requirements are offered. Specifically,...
A computer program that uses AI planning techniques is now the world’s best program for the game of contract bridge. As reported in The New York Times and The Washington Post, t...
Stephen J. J. Smith, Dana S. Nau, Thomas A. Throop