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» A Description Logic System for Learning in Complex Domains
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AI
2008
Springer
13 years 6 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
ECOWS
2007
Springer
14 years 2 months ago
Specifying and Monitoring Composite Events for Semantic Web Services
Execution monitoring of complex web service process models is critical for effective management and control of web services based systems. During the composite process model execu...
Roman Vaculín, Katia P. Sycara
NIPS
2007
13 years 9 months ago
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng
CLEF
2008
Springer
13 years 9 months ago
RAVE: A Fast Logic-Based Answer Validator
RAVE (Real-time Answer Validation Engine) is a logic-based answer validator/selector designed for real-time question answering. Instead of proving a hypothesis for each answer, RAV...
Ingo Glöckner
CIE
2007
Springer
14 years 2 months ago
RZ: A Tool for Bringing Constructive and Computable Mathematics Closer to Programming Practice
Realizability theory is not just a fundamental tool in logic and computability. It also has direct application to the design and implementation of programs, since it can produce co...
Andrej Bauer, Christopher A. Stone