75 search results - page 1 / 15 » Decision Making with Partially Consonant Belief Functions |
UAI
2003
13 years 6 months ago
2003
IAT
2005
IEEE
13 years 10 months ago
2005
IEEE
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
ECSQARU
2009
Springer
13 years 8 months ago
2009
Springer
The Transferable Belief Model is a powerful interpretation of belief function theory where decision making is based on the pignistic transform. Smets has proposed a generalization ...
ISIPTA
2005
IEEE
13 years 10 months ago
2005
IEEE
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
ECML
2005
Springer
13 years 10 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...