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|a 9783540487470
|9 978-3-540-48747-0
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|a 10.1007/3-540-48747-6
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|a Symbolic and Quantitative Approaches to Reasoning and Uncertainty
|h [electronic resource] :
|b European Conference, ECSQARU'99, London, UK, July 5-9, 1999, Proceedings /
|c edited by Anthony Hunter, Simon D. Parsons.
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|a 1st ed. 1999.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 1999.
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|a IX, 402 p.
|b online resource.
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|a text
|b txt
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|a Lecture Notes in Artificial Intelligence ;
|v 1638
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|a On the Dynamics of Default Reasoning -- Nonmonotonic and Paraconsistent Reasoning: From Basic Entailments to Plausible Relations -- A Comparison of Systematic and Local Search Algorithms for Regular CNF Formulas -- Query-answering in Prioritized Default Logic -- Updating Directed Belief Networks -- Inferring Causal Explanations -- A Critique of Inductive Causation -- Connecting Lexicographic with Maximum Entropy Entailment -- Avoiding Non-Ground Variables -- Anchoring Symbols to Vision Data by Fuzzy Logic -- Filtering vs Revision and Update: let us Debate! -- Irrelevance and Independence Axioms in Quasi-Bayesian Theory -- Assessing the value of a candidate -- Learning Default Theories -- Knowledge Representation for Inductive Learning -- Handling Inconsistency Efficiently in the Incremental Construction of Stratified Belief Bases -- Rough Knowledge Discovery and Applications -- Gradient Descent Training of Bayesian Networks -- Open Default Theories over Closed Domains -- Shopbot Economics -- Optimized Algorithm for Learning Bayesian Network from Data -- Merging with Integrity Constraints -- Boolean-like Interpretation of Sugeno Integral -- An Alternative to Outward Propagation for Dempster-Shafer Belief Functions -- On bottom-up pre-processing techniques for automated default reasoning -- Probabilisitc Logic Programming under Maximum Entropy -- Lazy Propagation and Independence of Causal Influence -- A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-Computation -- An Extension of a lInguistic Negation Model allowing us to Deny Nuanced Property Combinations -- Argumentation and Qualitative Decision Making -- Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach -- State Recognition in Discrete Dynamical Systems using Petri Nets and Evidence Theory -- Robot Navigation and Map Building with the Event Calculus -- Information Fusion in the Context of Stock Index Prediction -- Defeasible Goals -- Logical Deduction using the Local Computation Framework.
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|a Artificial intelligence.
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|a Mathematical logic.
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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|a Mathematical Logic and Formal Languages.
|0 http://scigraph.springernature.com/things/product-market-codes/I16048
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|a Hunter, Anthony.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Parsons, Simon D.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783662214794
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|i Printed edition:
|z 9783540661313
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|a Lecture Notes in Artificial Intelligence ;
|v 1638
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|u https://doi.org/10.1007/3-540-48747-6
|z Full Text via HEAL-Link
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|a Computer Science (Springer-11645)
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