530 search results - page 90 / 106 » Applications of artificial intelligence for optimization of ... |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
ATAL
2009
Springer
2009
Springer
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
14 years 2 months ago
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimati...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Recent studies have investigated how a team of mobile sensors can cope with real world constraints, such as uncertainty in the reward functions, dynamically appearing and disappea...