70 search results - page 13 / 14 » Modeling uncertain domains with polyagents |
AIEDU
2004
13 years 5 months ago
2004
We propose and evaluate a decision-theoretic approach for selecting tutorial actions by looking ahead to anticipate their effects on the student and other aspects of the tutorial s...
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
ATAL
2006
Springer
13 years 9 months ago
2006
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
AIPS
2007
13 years 7 months ago
2007
Many scheduling problems reside in uncertain and dynamic environments – tasks have a nonzero probability of failure and may need to be rescheduled. In these cases, an optimized ...
JUCS
2008
13 years 5 months ago
2008
Abstract: Intelligence and Knowledge play more and more important roles in building complex intelligent systems, for instance, intrusion detection systems, and operational analysis...