AI
2006
Springer
13 years 11 months ago
2006
Springer
The AI and HCI communities have often been characterized as having opposing views of how humans and computers should interact. As both of them evolve, there is a deeper contrast t...
AI
2006
Springer
13 years 11 months ago
2006
Springer
We consider how to forget a set of atoms in a logic program. Intuitively, when a set of atoms is forgotten from a logic program, all atoms in the set should be eliminated from thi...
AI
2006
Springer
13 years 11 months ago
2006
Springer
We study Coalitional Resource Games (CRGs), a variation of Qualitative Coalitional Games (QCGs) in which each agent is endowed with a set of resources, and the ability of a coalit...
AI
2006
Springer
13 years 11 months ago
2006
Springer
Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)--tournament selection--we highlight a previously-unknown source of inefficien...
AI
2006
Springer
13 years 11 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
AI
2006
Springer
13 years 11 months ago
2006
Springer
Deeper searches in game-playing programs relying on the minimax principle generally produce better results. Theoretical analyses, however, suggest that in many cases minimaxing am...
AI
2006
Springer
13 years 11 months ago
2006
Springer
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
AI
2006
Springer
13 years 11 months ago
2006
Springer
The Spohnian paradigm of ranking functions is in many respects like an order-of-magnitude reverse of subjective probability theory. Unlike probabilities, however, ranking function...
AI
2006
Springer
13 years 11 months ago
2006
Springer
Finite-domain constraint programming has been used with great success to tackle a wide variety of combinatorial problems in industry and academia. To apply finite-domain constrain...
AI
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...