In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Subdivision surfaces are finding their way into many Computer Aided Design and Animation packages. Popular choices include Loop, Catmull-Clark, Doo-Sabin etc. Subdivision surfaces...
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
We present a system of programs designed to facilitate sequence analysis projects involving large amounts of data. SEALS (System for Easy Analysis of Lots of Sequences) is a logic...
Evaluating web services provisioning is able to reduce redundancy in search and also generates advantages to service providers who deliver valuable services. However, there exist ...