Sciweavers

AAAI
1994
14 years 1 months ago
Using Knowledge Acquisition and Representation Tools to Support Scientific Communities
Widespread access to the Internet has led to the formation of geographically dispersed scientific communities collaborating through the network. The tools supporting such collabor...
Brian R. Gaines, Mildred L. G. Shaw
AAAI
1994
14 years 1 months ago
In Search of the Best Constraint Satisfaction Search
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...
Daniel Frost, Rina Dechter
AAAI
1996
14 years 1 months ago
Interactive Information Retrieval Systems with Minimalist Representation
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...
Eric A. Domeshek, Smadar Kedar, Andrew S. Gordon
AAAI
1994
14 years 1 months ago
Dead-End Driven Learning
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 ...
Daniel Frost, Rina Dechter
AAAI
1994
14 years 1 months ago
Conditional Logics of Belief Change
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 ...
Nir Friedman, Joseph Y. Halpern
AAAI
1994
14 years 1 months ago
Using Qualitative Physics to Build Articulate Software for Thermodynamics Education
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 ...
Kenneth D. Forbus, Peter B. Whalley
AAAI
1994
14 years 1 months ago
Principled Multilingual Grammars for Large Corpora
Sharon Flank, Paul Krause, Carol Van Ess-Dykema
AAAI
1993
14 years 1 months ago
Complexity Analysis of Real-Time Reinforcement Learning
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...
Sven Koenig, Reid G. Simmons