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» Unifying Logical and Statistical AI
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AAAI
2006
13 years 5 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...
LPNMR
2011
Springer
12 years 6 months ago
Logic, Probability and Computation: Foundations and Issues of Statistical Relational AI
Over the last 25 years there has been considerable body of research into combinations of predicate logic and probability forming what has become known as (perhaps misleadingly) sta...
David Poole
IAT
2009
IEEE
13 years 10 months ago
Symbol Statistics for Concept Formation in AI Agents
—High level conceptual thought seems to be at the basis of the impressive human cognitive ability. Classical topdown (Logic based) and bottom-up (Connectionist) approaches to the...
Jason R. Chen
AI
2004
Springer
13 years 3 months ago
A unifying semantics for time and events
We give a formal semantics for a highly expressive language for representing temporal relationships and events. This language, which we call Versatile Event Logic (VEL), provides ...
Brandon Bennett, Antony Galton
ECAI
2008
Springer
13 years 5 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito