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AAAI
2012
13 years 7 months ago
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
156
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BMCBI
2004
185views more  BMCBI 2004»
15 years 4 months ago
Linear fuzzy gene network models obtained from microarray data by exhaustive search
Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
ENTCS
2000
109views more  ENTCS 2000»
15 years 4 months ago
Forward and Backward Chaining in Linear Logic
Abstract. Logic programming languages based on linear logic are of both theoretical and practical interest, particulaly because such languages can be seen as providing a logical ba...
James Harland, David J. Pym, Michael Winikoff
LICS
2012
IEEE
13 years 7 months ago
Logics of Dynamical Systems
—We study the logic of dynamical systems, that is, logics and proof principles for properties of dynamical systems. Dynamical systems are mathematical models describing how the s...
André Platzer
FUZZIEEE
2007
IEEE
15 years 11 months ago
Toward Multiple-agent Extensions of Possibilistic Logic
— Possibilistic logic is essentially a formalism for handling qualitative uncertainty with an inference machinery that remains close to the one of classical logic. It is capable ...
Didier Dubois, Henri Prade