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Author SUM (Conference) (13th : 2019 : Compiègne, France)

Title Scalable uncertainty management : 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings / Nahla Ben Amor, Benjamin Quost, Martin Theobald (eds.)
Published Cham : Springer, 2019
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Description 1 online resource (462 pages)
Series LNCS sublibrary. SL 7, Artificial intelligence
Lecture Notes in Computer Science ; 11940
Lecture notes in artificial intelligence
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science ; 11940
Lecture notes in computer science. Lecture notes in artificial intelligence.
Contents Intro; Preface; Organization; Contents; An Experimental Study on the Behaviour of Inconsistency Measures; 1 Introduction; 2 Preliminaries; 3 Inconsistency Measures; 4 Experiments; 4.1 Knowledge Base Generation; 4.2 Evaluation Measures; 4.3 Results; 5 Conclusion; References; Inconsistency Measurement; 1 Introduction; 2 Preliminaries; 3 Measuring Inconsistency; 4 Approaches; 4.1 Measures Based on Minimal Inconsistent Sets; 4.2 Measures Based on Non-classical Semantics; 4.3 Further Measures; 5 Beyond Propositional Logic; 5.1 First-Order and Description Logic; 5.2 Probabilistic Logic
1 Introduction2 Background; 2.1 Belief Function and Credal Partition; 2.2 Evidential C-Means Algorithm; 2.3 Evidential Constrained C-Means Algorithm; 3 The LPECM Algorithm with Instance-Level Constraints; 3.1 Objective Function; 3.2 Optimization; 3.3 Metric Optimization; 4 Experiments; 4.1 Experimental Protocols; 4.2 Toy Data Set; 4.3 Real Data Sets; 5 Conclusion; References; Hybrid Reasoning on a Bipolar Argumentation Framework; 1 Introduction; 2 Bipolar Argumentation Framework; 3 Description of Legal Knowledge in a BAF; 4 Reasoning Using the BAF; 4.1 Outline; 4.2 Bottom-Up Reasoning
3 Decomposition of Causal Interaction Models4 Properties of a Cascading Representation; 4.1 The Cascading Representation and Its Equivalence Property; 4.2 Additional Engineering Benefits; 5 Conclusions and Further Research; References; Computational Models for Cumulative Prospect Theory: Application to the Knapsack Problem Under Risk; 1 Introduction; 2 Related Work; 3 CPT and Strong Risk Aversion; 4 A First Linearization for CPT Optimization; 5 The Case of Piecewise Linear Weighting Functions; 6 Conclusion; References; On a New Evidential C-Means Algorithm with Instance-Level Constraints
4.3 Top-Down Reasoning4.4 Hybrid Reasoning; 4.5 Correctness; 5 Related Works; 6 Conclusion; References; Active Preference Elicitation by Bayesian Updating on Optimality Polyhedra; 1 Introduction; 2 Background and Notations; 3 Incremental Elicitation Approach; 4 Experimental Results; 5 Conclusion; References; Selecting Relevant Association Rules From Imperfect Data; 1 Introduction; 2 Theoretical Background and Related Work; 2.1 Theoretical Background; 2.2 Problem Statement and Related Work; 3 Proposed Approach; 3.1 Assessing Rule Interestingness from Imprecise Data; 3.2 Search Space Reduction
5.3 Non-monotonic Logics6 Summary and Discussion; References; Using Graph Convolutional Networks for Approximate Reasoning with Abstract Argumentation Frameworks: A Feasibility Study; 1 Introduction; 2 Preliminaries; 2.1 Abstract Argumentation; 2.2 Artificial Neural Networks and Graph Convolutional Networks; 3 Casting the Acceptability Problem as a Classification Problem; 4 Experimental Evaluation; 4.1 Datasets; 4.2 Experimental Setup; 4.3 Results; 5 Conclusion; References; The Hidden Elegance of Causal Interaction Models; 1 Introduction; 2 Preliminaries
Summary This book constitutes the refereed proceedings of the 13th International Conference on Scalable Uncertainty Management, SUM 2019, which was held in Compiègne, France, in December 2019. The 25 full, 4 short, 4 tutorial, 2 invited keynote papers presented in this volume were carefully reviewed and selected from 44 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models
Notes 3.3 Rules Selection Process
Includes author index
Print version record
Subject Uncertainty (Information theory) -- Congresses.
Uncertainty (Information theory)
Genre/Form Conference papers and proceedings.
Form Electronic book
Author Ben Amor, Nahla.
Quost, Benjamin.
Theobald, Martin (Computer scientist)
ISBN 3030355144
9783030355142
Other Titles SUM 2019