Sciweavers

AI
2002
Springer
13 years 4 months ago
Emergence of social conventions in complex networks
The emergence of social conventions in multi-agent systems has been analyzed mainly in settings where every agent may interact either with every other agent or with nearest neighb...
Jordi Delgado
AI
2002
Springer
13 years 4 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
AI
2002
Springer
13 years 4 months ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro
AI
2002
Springer
13 years 4 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
AI
2002
Springer
13 years 4 months ago
Binary vs. non-binary constraints
Fahiem Bacchus, Xinguang Chen, Peter van Beek, Tob...
AI
2002
Springer
13 years 4 months ago
A hierarchical approach to computer Hex
Hex is a beautiful game with simple rules and a strategic complexity comparable to that of Chess and Go. The massive game-tree search techniques developed mostly for Chess and suc...
Vadim V. Anshelevich
AI
2002
Springer
13 years 4 months ago
A re-weighting strategy for improving margins
We present a simple general scheme for improving margins that is inspired on well known margin theory principles. The scheme is based on a sample re-weighting strategy. The very b...
Fabio Aiolli, Alessandro Sperduti
AI
2002
Springer
13 years 4 months ago
QUANTUM: A Function-Based Question Answering System
Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...
Luc Plamondon, Leila Kosseim
AI
2002
Springer
13 years 4 months ago
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
Christel Kemke