622 search results - page 9 / 125 » Stochastic programming approach to optimization under uncert... |
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
We present the agent programming language POGTGolog, which combines explicit agent programming in Golog with game-theoretic multi-agent planning in a special kind of partially obs...
DATE
2008
IEEE
15 years 4 months ago
2008
IEEE
With the increasing levels of variability and randomness in the characteristics and behavior of manufactured nanoscale structures and devices, achieving performance optimization u...
MP
2006
14 years 9 months ago
2006
Stochastic programming is the subfield of mathematical programming that considers optimization in the presence of uncertainty. During the last four decades a vast amount of litera...
CPAIOR
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. The stochastic satisfiability modulo theories (SSMT) problem is a generalization of the SMT problem on existential and randomized (aka. stochastic) quantification over di...
80
Voted
CCIA
2007
Springer
15 years 3 months ago
2007
Springer
In this paper, we present an action language which is called AP oss in order to perform reasoning about actions under uncertainty. This language is based on a possibilistc logic pr...