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» Scaling-Up Inference in Markov Logic
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CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 9 days ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
AAAI
1996
13 years 6 months ago
Scaling up Logic-Based Truth Maintenance Systems via Fact Garbage Collection
Truth maintenance systems provide caches of beliefs and inferences that support explanations and search. Traditionally, the cost of using a TMS is monotonic growth in the size of ...
John O. Everett, Kenneth D. Forbus
AAAI
2012
11 years 7 months ago
A Tractable First-Order Probabilistic Logic
Tractable subsets of first-order logic are a central topic in AI research. Several of these formalisms have been used as the basis for first-order probabilistic languages. Howev...
Pedro Domingos, William Austin Webb
AAAI
2012
11 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...
AAAI
2006
13 years 6 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...