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AIPS
2006
13 years 10 months ago
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
TAL
2004
Springer
14 years 2 months ago
One Size Fits All? A Simple Technique to Perform Several NLP Tasks
Word fragments or n-grams have been widely used to perform different Natural Language Processing tasks such as information retrieval [1] [2], document categorization [3], automatic...
Daniel Gayo-Avello, Darío Álvarez Gu...
GECCO
2003
Springer
201views Optimization» more  GECCO 2003»
14 years 2 months ago
Solving Mastermind Using Genetic Algorithms
The MasterMind game involves decoding a secret code. The classic game is a code of six possible colors in four slots. The game has been analyzed and optimal strategies have been po...
Tom Kalisker, Doug Camens
CAEPIA
2005
Springer
14 years 2 months ago
Mapping Conformant Planning into SAT Through Compilation and Projection
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
Héctor Palacios, Hector Geffner
KI
2007
Springer
14 years 3 months ago
Inductive Synthesis of Recursive Functional Programs
Abstract. We compare three systems for the task of synthesising functional recursive programs, namely Adate, an approach through evolutionary computation, the classification learn...
Martin Hofmann 0008, Andreas Hirschberger, Emanuel...