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Anthony Hunter and Simon Parsons
Front matter
1-10
On the Dynamics of Default Reasoning
11-21
Nonmonotonic and Paraconsistent Reasoning: From Basic Entailments to Plausible Relations
22-31
A Comparison of Systematic and Local Search Algorithms for Regular CNF Formulas
32-42
Query-answering in Prioritized Default Logic
43-54
Updating Directed Belief Networks
55-67
Inferring Causal Explanations
68-79
A Critique of Inductive Causation
80-91
Connecting Lexicographic with Maximum Entropy Entailment
92-103
Avoiding Non-Ground Variables
104-115
Anchoring Symbols to Vision Data by Fuzzy Logic
116-127
Filtering vs Revision and Update: let us Debate!
128-136
Irrelevance and Independence Axioms in Quasi-Bayesian Theory
137-147
Assessing the value of a candidate A qualitative possibilistic approach
148-159
Learning Default Theories
160-167
Knowledge Representation for Inductive Learning
168-178
Handling Inconsistency Efficiently in the Incremental Construction of Stratified Belief Bases
179-189
Rough Knowledge Discovery and Applications
190-200
Gradient Descent Training of Bayesian Networks
201-207
Open Default Theories over Closed Domains (Extended Abstract)
208-220
Shopbot Economics
221-232
Optimized Algorithm for Learning Bayesian Network from Data
233-244
Merging with Integrity Constraints
245-255
Boolean-like Interpretation of Sugeno Integral
256-267
An Alternative to Outward Propagation for Dempster-Shafer Belief Functions
268-278
On bottom-up pre-processing techniques for automated default reasoning
279-292
Probabilisitc Logic Programming under Maximum Entropy
293-304
Lazy Propagation and Independence of Causal Influence
305-315
A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-Computation
316-327
An Extension of a lInguistic Negation Model allowing us to Deny Nuanced Property Combinations
328-339
Argumentation and Qualitative Decision Making
340-351
Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach
352-361
State Recognition in Discrete Dynamical Systems using Petri Nets and Evidence Theory
362
Robot Navigation and Map Building with the Event Calculus
363-373
Information Fusion in the Context of Stock Index Prediction
374-385
Defeasible Goals
386-396
Logical Deduction using the Local Computation Framework
Back matter
Grigoris Antoniou
Ofer Arieli and Arnon Avron
Ramón Béjar and Felip Manyà
F. Benhammadi, P. Nicolas and T. Schaub
Boutheina Ben Yaghlane and Khaled Mellouli
Philippe Besnard and Marie-Odile Cordier
Christian Borgelt and Rudolf Kruse
Rachel A. Bourne and Simon Parsons
Stefan Brüning and Torsten Schaub
Silvia Coradeschi and Alessandro Saffiotti
Corine Cossart and Catherine Tessier
Fabio Gagliardi Cozman
Didier Dubois, Michel Grabisch and Henri Prade
Béatrice Duval and Pascal Nicolas
Peter A. Flach
Eric Grégoire
J. W. Guan and D. A. Bell
Finn Verner Jensen
Michael Kaminski
Jeffrey O. Kephart and Amy R. Greenwald
Fédia Khalfallah and Khaled Mellouli
Sébastien Konieczny and Ramón Pino Pérez
Ivan Kramosil
Norbert Lehmann and Rolf Haenni
Thomas Linke and Torsten Schaub
Thomas Lukasiewicz and Gabriele Kern-Isberner
Anders L. Madsen and Bruce D’ Ambrosio
Serafín Moral and Antonio Salmerón
Daniel Pacholczyk
Simon Parsons and Shaw Green
Simon Petit-Renaud and Thierry Denœux
Michèle Rombaut, Iman Jarkass and Thierry Denœux
Murray Shanahan and Mark Witkowski
Stefan Siekmann, Jörg Gebhardt and Rudolf Kruse
Leendert van der Torre
Nic Wilson and Jérôme Mengin
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