The top documents tagged [nonmonotonic reasoning]

Bayesian Networks
Technology Bayesian Networks

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Opportunistic Reasoning for the Semantic Web: Adapting Reasoning to the Environment Carlos Pedrinaci Tim Smithers and Amaia Bernaras
Documents Opportunistic Reasoning for the Semantic Web: Adapting Reasoning to the Environment Carlos Pedrinaci Tim Smithers and Amaia Bernaras

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Using Dialogue Games to Form Coalitions with Self-Interested Agents Luke Riley Department of Computer Science University of Liverpool L.J.Riley@Liverpool.ac.uk
Documents Using Dialogue Games to Form Coalitions with Self-Interested Agents Luke Riley Department of Computer Science University of Liverpool [email protected]

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C O - INDUCTIVE LOGIC PROGRAMMING AND ITS APPLICATIONS
Documents C O - INDUCTIVE LOGIC PROGRAMMING AND ITS APPLICATIONS

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Uncertainty, page 1 CSI 4106, Winter 2005 Representing uncertain knowledge Points Symbolic and numerical uncertainty The Closed World Assumption Predicate
Documents Uncertainty, page 1 CSI 4106, Winter 2005 Representing uncertain knowledge Points Symbolic and numerical uncertainty The Closed World Assumption Predicate

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Semantic Web – ein besseres Web? Hamburg, KWB, 05.10.2009 Dank an Ivan Herman, Tim Berners-Lee, Frank van Harmelen und die Studierenden am IBI Prof. Dr
Documents Semantic Web – ein besseres Web? Hamburg, KWB, 05.10.2009 Dank an Ivan Herman, Tim Berners-Lee, Frank van Harmelen und die Studierenden am IBI Prof. Dr

105 views

Message Management Systems: Concepts, Motivations, and
Business Message Management Systems: Concepts, Motivations, and

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Solution Manual to Third Edition AI
Documents Solution Manual to Third Edition AI

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Improving the Accuracy and Scalability of Discriminative Learning Methods for Markov Logic Networks Tuyen N. Huynh Adviser: Prof. Raymond J. Mooney PhD
Documents Improving the Accuracy and Scalability of Discriminative Learning Methods for Markov Logic Networks Tuyen N. Huynh Adviser: Prof. Raymond J. Mooney PhD

217 views

Online Max-Margin Weight Learning for Markov Logic Networks Tuyen N. Huynh and Raymond J. Mooney Machine Learning Group Department of Computer Science
Documents Online Max-Margin Weight Learning for Markov Logic Networks Tuyen N. Huynh and Raymond J. Mooney Machine Learning Group Department of Computer Science

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Assumption-Based Truth Maintenance Systems Meir Kalech
Documents Assumption-Based Truth Maintenance Systems Meir Kalech

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1 DCP 1172 Introduction to Artificial Intelligence Chang-Sheng Chen Topics Covered: Introduction to Nonmonotonic Logic
Documents 1 DCP 1172 Introduction to Artificial Intelligence Chang-Sheng Chen Topics Covered: Introduction to Nonmonotonic Logic

226 views