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ORCIDECSQARU 1999: London, UK
- Anthony Hunter, Simon Parsons:
Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQARU'99, London, UK, July 5-9, 1999, Proceedings. Lecture Notes in Computer Science 1638, Springer 1999, ISBN 3-540-66131-X - Grigoris Antoniou:
On the Dynamics of Default Reasoning. 1-10 - Ofer Arieli, Arnon Avron:
Nonmonotonic and Paraconsistent Reasoning: From Basic Entailments to Plausible Relations. 11-21 - Ramón Béjar, Felip Manyà:
A Comparison of Systematic and Local Search Algorithms for Regular CNF Formulas. 22-31 - Farid Benhammadi, Pascal Nicolas, Torsten Schaub:
Query-Answering in Prioritized Default Logic. 32-42 - Boutheina Ben Yaghlane, Khaled Mellouli:
Updating Directed Belief Networks. 43-54 - Philippe Besnard, Marie-Odile Cordier:
Inferring Causal Explanations. 55-67 - Christian Borgelt, Rudolf Kruse:
A Critique of Inductive Causation. 68-79 - Rachel A. Bourne, Simon Parsons:
Connecting Lexicographic with Maximum Entropy Entailment. 80-91 - Stefan Brüning, Torsten Schaub:
Avoiding Non-ground Variables. 92-103 - Silvia Coradeschi, Alessandro Saffiotti:
Anchoring Symbols to Vision Data by Fuzzy Logic. 104-115 - Corine Cossart, Catherine Tessier:
Filtering vs Revision and Update: Let Us Debate!. 116-127 - Fábio Gagliardi Cozman:
Irrelevance and Independence Axioms in Quasi-Bayesian Theory. 128-136 - Didier Dubois, Michel Grabisch, Henri Prade:
Assessing the Value of Candidate (A Qualitative Possibilistic Approach). 137-147 - Béatrice Duval, Pascal Nicolas:
Learning Default Theories. 148-159 - Peter A. Flach:
Knowledge Representation for Inductive Learning. 160-167 - Éric Grégoire:
Handling Inconsistency Efficiently in the Incremental Construction of Statified Belief Bases. 168-178 - J. W. Guan, David A. Bell:
Rough Knowledge Discovery and Applications. 179-189 - Finn Verner Jensen:
Gradient Descent Training of Bayesian Networks. 190-200 - Michael Kaminski:
Open Default Theories over Closed Domains. 201-207 - Jeffrey O. Kephart, Amy Greenwald
:
Shopbot Economics. 208-220 - Fédia Khalfallah, Khaled Mellouli:
Optimized Algorithm for Learning Bayesian Network from Data. 221-232 - Sébastien Konieczny, Ramón Pino Pérez:
Merging with Integrity Constraints. 233-244 - Ivan Kramosil:
Boolean-Like Interpretation of Sudeno Integral. 245-255 - Norbert Lehmann, Rolf Haenni:
An Alternative to Outward Propagation for Dempster-Shafer Belief Functions. 256-267 - Thomas Linke, Torsten Schaub:
On Bottom-Up Pre-processing Techniques for Automated Default Reasoning. 268-278 - Thomas Lukasiewicz, Gabriele Kern-Isberner:
Probalilistic Logic Programming under Maximum Entropy. 279-292 - Anders L. Madsen, Bruce D'Ambrosio:
Lazy Propagation and Independence of Causal Influence. 293-304 - Serafín Moral, Antonio Salmerón:
A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-computation. 305-315 - Daniel Pacholczyk:
An Extension of a Linguistic Negation Model Allowing Us to Deny Nuanced Property Combinations. 316-327 - Simon Parsons, Shaw Green:
Argumentation and Qualitative Decision Making. 328-340 - Simon Petit-Renaud, Thierry Denoeux:
Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach. 340-351 - Michèle Rombaut, Iman Jarkass, Thierry Denoeux:
State Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory. 352-361 - Murray Shanahan, Mark Witkowski:
Robot Navigation and Map Building with the Event Calculus (abstract). 362 - Stefan Siekmann, Jörg Gebhardt, Rudolf Kruse:
Information Fusion in the Context of Stock Index Prediction. 363-373 - Leendert W. N. van der Torre:
Defeasible Goals. 274-385 - Nic Wilson, Jérôme Mengin:
Logical Deduction Using the Local Computation Framework. 386-396
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