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020 _a9783540487470
_9978-3-540-48747-0
024 7 _a10.1007/3-540-48747-6
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aSymbolic and Quantitative Approaches to Reasoning and Uncertainty
_h[electronic resource] :
_bEuropean Conference, ECSQARU'99, London, UK, July 5-9, 1999, Proceedings /
_cedited by Anthony Hunter, Simon D. Parsons.
250 _a1st ed. 1999.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c1999.
300 _aIX, 402 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v1638
505 0 _aOn 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 PetriNets 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.
650 0 _aArtificial intelligence.
650 0 _aMachine theory.
650 1 4 _aArtificial Intelligence.
650 2 4 _aFormal Languages and Automata Theory.
700 1 _aHunter, Anthony.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aParsons, Simon D.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540661313
776 0 8 _iPrinted edition:
_z9783662214794
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v1638
856 4 0 _uhttps://doi.org/10.1007/3-540-48747-6
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