Widespread access to the Internet has led to the formation of geographically dispersed scientific communities collaborating through the network. The tools supporting such collabor...
We present the results of an empirical study of several constraint satisfaction search algorithms and heuristics. Using a random problem generator that allows us to create instanc...
Almost any information you might want is becoming available on-line. The problem is how to find what you need. One strategy to improve access to existing information sources, is i...
The paper evaluates the eectiveness of learning for speeding up the solution of constraint satisfaction problems. It extends previous work (Dechter 1990) by introducing a new and ...
The study of belief change has been an active area in philosophy and AI.In recent years two special cases ofbelief change, belief revision and belief update, have been studied in ...
One of the original motivations for research in qualitative physics was the development of intelligent tutoring systems and learning environments for physical domains and complex ...
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...