• Produktbild: Symbolic and Quantitative Approaches to Reasoning and Uncertainty
  • Produktbild: Symbolic and Quantitative Approaches to Reasoning and Uncertainty

Symbolic and Quantitative Approaches to Reasoning and Uncertainty European Conference, ECSQARU '99, London, UK, July 5-9, 1999. Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.06.1999

Herausgeber

Anthony Hunter + weitere

Verlag

Springer Berlin

Seitenzahl

402

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

628 g

Auflage

1999

Sprache

Englisch

ISBN

978-3-540-66131-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.06.1999

Herausgeber

Verlag

Springer Berlin

Seitenzahl

402

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

628 g

Auflage

1999

Sprache

Englisch

ISBN

978-3-540-66131-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Symbolic and Quantitative Approaches to Reasoning and Uncertainty
  • Produktbild: Symbolic and Quantitative Approaches to Reasoning and Uncertainty
  • 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.