04180oam 2200613 450 991014345730332120210717102444.03-540-48747-610.1007/3-540-48747-6(CKB)1000000000211093(SSID)ssj0000327059(PQKBManifestationID)11231696(PQKBTitleCode)TC0000327059(PQKBWorkID)10299156(PQKB)10822633(DE-He213)978-3-540-48747-0(MiAaPQ)EBC3071519(MiAaPQ)EBC6485743(PPN)155206109(EXLCZ)99100000000021109320210717d1999 uy 0engurnn|008mamaatxtccrSymbolic and quantitative approaches to reasoning and uncertainty European conference, ECSQARU'99, London, UK, July 5-9, 1999, proceedings /Anthony Hunter, Simon Parsons, editors1st ed. 1999.Berlin :Springer,[1999]©19991 online resource (IX, 402 p.) Lecture Notes in Artificial Intelligence ;1638Bibliographic Level Mode of Issuance: Monograph3-540-66131-X Includes bibliographical references and index.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.Lecture notes in computer science.Lecture notes in artificial intelligence ;1638.Artificial intelligenceCongressesReasoningCongressesUncertainty (Information theory)CongressesArtificial intelligenceReasoningUncertainty (Information theory)006.3Parsons SimonHunter Anthony1962-European Conference on Symbolic and Quantitative Approaches to Reasoning and UncertaintyMiAaPQMiAaPQUtOrBLWBOOK9910143457303321Symbolic and quantitative approaches to reasoning and uncertainty2124629UNINA