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Logic Programming and Nonmonotonic Reasoning

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Cover of 'Logic Programming and Nonmonotonic Reasoning'

Table of Contents

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    Book Overview
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    Chapter 1 Syntactic ASP Forgetting with Forks
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    Chapter 2 Modal Logic S5 in Answer Set Programming with Lazy Creation of Worlds
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    Chapter 3 Enumeration of Minimal Models and MUSes in WASP
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    Chapter 4 Statistical Statements in Probabilistic Logic Programming
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    Chapter 5 A Comparative Study of Three Neural-Symbolic Approaches to Inductive Logic Programming
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    Chapter 6 A Definition of Sceptical Semantics in the Constellations Approach
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    Chapter 7 SHACL: A Description Logic in Disguise
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    Chapter 8 Tunas - Fishing for Diverse Answer Sets: A Multi-shot Trade up Strategy
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    Chapter 9 Emotional Reasoning in an Action Language for Emotion-Aware Planning
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    Chapter 10 Metric Temporal Answer Set Programming over Timed Traces
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    Chapter 11 Epistemic Logic Programs: A Study of Some Properties
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    Chapter 12 Deep Learning for the Generation of Heuristics in Answer Set Programming: A Case Study of Graph Coloring
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    Chapter 13 A Qualitative Temporal Extension of Here-and-There Logic
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    Chapter 14 Representing Abstract Dialectical Frameworks with Binary Decision Diagrams
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    Chapter 15 Arguing Correctness of ASP Programs with Aggregates
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    Chapter 16 Efficient Computation of Answer Sets via SAT Modulo Acyclicity and Vertex Elimination
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    Chapter 17 IASCAR: Incremental Answer Set Counting by Anytime Refinement
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    Chapter 18 Reasoning About Actions with  $$\mathcal EL$$ E L Ontologies and Temporal Answer Sets for DLTL
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    Chapter 19 Inference to the Stable Explanations
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    Chapter 20 Semantics for Conditional Literals via the SM Operator
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    Chapter 21 State Transition in Multi-agent Epistemic Domains Using Answer Set Programming
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    Chapter 22 Towards Provenance in Heterogeneous Knowledge Bases
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    Chapter 23 Computing Smallest MUSes of Quantified Boolean Formulas
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    Chapter 24 Pinpointing Axioms in Ontologies via ASP
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    Chapter 25 Interlinking Logic Programs and Argumentation Frameworks
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    Chapter 26 Gradient-Based Supported Model Computation in Vector Spaces
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    Chapter 27 Towards Causality-Based Conflict Resolution in Answer Set Programs
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    Chapter 28 xASP: An Explanation Generation System for Answer Set Programming
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    Chapter 29 Solving Problems in the Polynomial Hierarchy with ASP(Q)
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    Chapter 30 A Practical Account into Counting Dung’s Extensions by Dynamic Programming
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    Chapter 31 Clingraph : ASP-Based Visualization
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    Chapter 32 A Machine Learning System to Improve the Performance of ASP Solving Based on Encoding Selection
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    Chapter 33 QMaxSATpb: A Certified MaxSAT Solver
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    Chapter 34 Knowledge-Based Support for Adhesive Selection
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    Chapter 35 ASP for Flexible Payroll Management
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    Chapter 36 Analysis of Cyclic Fault Propagation via ASP
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    Chapter 37 Learning to Rank the Distinctiveness of Behaviour in Serial Offending
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    Chapter 38 Optimising Business Process Discovery Using Answer Set Programming
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    Chapter 39 DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models
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    Chapter 40 Correction to: Logic Programming and Nonmonotonic Reasoning
Attention for Chapter 4: Statistical Statements in Probabilistic Logic Programming
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Chapter title
Statistical Statements in Probabilistic Logic Programming
Chapter number 4
Book title
Logic Programming and Nonmonotonic Reasoning
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-15707-3_4
Book ISBNs
978-3-03-115706-6, 978-3-03-115707-3
Authors

Azzolini, Damiano, Bellodi, Elena, Riguzzi, Fabrizio

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Medicine and Dentistry 1 50%