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ECAI
2008
Springer
14 years 11 months ago
Belief revision with reinforcement learning for interactive object recognition
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...
Thomas Leopold, Gabriele Kern-Isberner, Gabriele P...
LOGCOM
2008
106views more  LOGCOM 2008»
14 years 9 months ago
Reinforcement Belief Revision
The capability of revising its beliefs upon new information in a rational and efficient way is crucial for an intelligent agent. The classical work in belief revision focuses on i...
Yi Jin, Michael Thielscher
LPAR
2001
Springer
15 years 2 months ago
Logical Omniscience and the Cost of Deliberation
Logical omniscience is a well known problem which makes traditional modal logics of knowledge, belief and intentions somewhat unrealistic from the point of view of modelling the be...
Natasha Alechina, Brian Logan
AAAI
1990
14 years 11 months ago
The Generalized Theory of Model Preference
In this paper we present a purely semantic view on non-monotonic reasoning. We follow the direction pointed in [16] and claim that any non-monotonic logic can be viewed as a resul...
Piotr Rychlik
ISIPTA
2003
IEEE
15 years 3 months ago
Combining Belief Functions Issued from Dependent Sources
Dempster’s rule for combining two belief functions assumes the independence of the sources of information. If this assumption is questionable, I suggest to use the least speciļ¬...
Marco E. G. V. Cattaneo