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» Deductive Plan Generation
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AAI
2005
117views more  AAI 2005»
13 years 7 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
IJCAI
2007
13 years 9 months ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...
DAGSTUHL
1996
13 years 8 months ago
Efficiently Generating Efficient Generating Extensions in Prolog
The so called "cogen approach" to program specialisation, writing a compiler generator instead of a specialiser, has been used with considerable success in partial evalua...
Jesper Jørgensen, Michael Leuschel
ENTCS
2006
169views more  ENTCS 2006»
13 years 7 months ago
Constructing Induction Rules for Deductive Synthesis Proofs
We describe novel computational techniques for constructing induction rules for deductive synthesis proofs. Deductive synthesis holds out the promise of automated construction of ...
Alan Bundy, Lucas Dixon, Jeremy Gow, Jacques D. Fl...
IGPL
2007
113views more  IGPL 2007»
13 years 7 months ago
Pandora: A Reasoning Toolbox using Natural Deduction Style
Pandora is a tool for supporting the learning of first order natural deduction. It includes a help window, an interactive context sensitive tutorial known as the ‘‘e-tutor’...
Krysia Broda, Jiefei Ma, Gabrielle Sinnadurai, Ale...