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ICTAI
2000
IEEE
15 years 4 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
100
Voted
CONNECTION
2006
117views more  CONNECTION 2006»
15 years 18 days ago
Bootstrap learning of foundational representations
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
Benjamin Kuipers, Patrick Beeson, Joseph Modayil, ...
121
Voted
KR
2004
Springer
15 years 6 months ago
Updating of a Possibilistic Knowledge Base by Crisp or Fuzzy Transition Rules
In this paper, partial knowledge about the possible transitions which can take place in a dynamical environment is represented by a set of pairs of propositional formulae, with th...
Boris Mailhé, Henri Prade
113
Voted
KER
2007
90views more  KER 2007»
15 years 13 days ago
PLTOOL: A knowledge engineering tool for planning and learning
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
Susana Fernández, Daniel Borrajo, Raquel Fu...
DBSEC
2000
95views Database» more  DBSEC 2000»
15 years 1 months ago
Wrappers - a mechanism to support state-based authorisation in Web applications
The premises of this paper are 1) security is application dependent because application semantics directly influence proper protection; but 2) applications are generally too compl...
Martin S. Olivier, Ehud Gudes