46 search results - page 2 / 10 » The Learning Power of Belief Revision |
AI
2007
Springer
13 years 5 months ago
2007
Springer
The AGM postulates for belief revision, augmented by the DP postulates for iterated belief revision, provide generally accepted criteria for the design of operators by which intel...
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
FUIN
2010
13 years 3 months ago
2010
Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to probabilistic inputs, is appropr...
FLAIRS
2003
13 years 6 months ago
2003
This paper presents new methods for probabilistic belief revision and information fusion. By making use of the principles of optimum entropy (ME-principles), we define a generali...
AAAI
2008
13 years 7 months ago
2008
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...