Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Although, most of phenomena change over time, there has been an attempt to model the phenomena of real world assuming a static nature for them. Even when changes occurred in the p...
We present a novel methodology for building humanlike artificially intelligent systems. We take as a model the only existing systems which are universally accepted as intelligent:...
Rodney A. Brooks, Cynthia Breazeal, Robert Irie, C...
With the growth of on-line information, the need for better resource location services is growing rapidly. A popular goal is to conduct search in terms of concepts, rather than wo...
Peter Clark, John Thompson, Heather Holmback, Lisb...
Motivated by routing issues in ad hoc networks, we present polylogarithmic-time distributed algorithms for two problems. Given a network, we first show how to compute connected a...
Devdatt P. Dubhashi, Alessandro Mei, Alessandro Pa...