KBS
2002
13 years 10 months ago
2002
There is a variety of applications that can benefit from the ability to find optimal or good solutions to a proposed problem automatically. The Artificial Intelligent (AI) communi...
CORR
2002
Springer
13 years 11 months ago
2002
Springer
This paper studies the problem of modeling complex domains of actions and change within highlevel action description languages. We investigate two main issues of concern: (a) can ...
AAMAS
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Agent-based computing is a promising approach for developing applications in complex domains. However, despite the great deal of research in the area, a number of challen...
UAI
1997
14 years 15 days ago
1997
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
KR
2004
Springer
14 years 4 months ago
2004
Springer
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
ICCBR
2005
Springer
14 years 4 months ago
2005
Springer
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
CHI
2010
ACM
14 years 6 months ago
2010
ACM
Although usability methods are widely used for evaluating conventional graphical user interfaces and websites, there is a growing concern that current approaches are inadequate fo...