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Logic-Based Program Synthesis and Transformation [electronic resource] : 33rd International Symposium, LOPSTR 2023, Cascais, Portugal, October 23-24, 2023, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 14330Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XII, 211 p. 45 illus., 11 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031457845
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004.0151 23
LOC classification:
  • QA75.5-76.95
Online resources:
Contents:
K eynotes -- Unification modulo equational theories in languages with binding operators -- Horn Clauses Analysis, Transformation and Synthesis -- Design Datalog Templates for Synthesizing Bidirectional Programs from Tabular Examples -- Transforming big-step to small-step semantics using interpreter specialisation -- Constrained Horn Clauses Satisfiability via Catamorphic Abstractions -- Static analysis and Type systems -- A reusable machine-calculus for automated resource analyses -- Approach for Designing and Composing Abstract Domains -- A Logical Interpretation of Asynchronous Multiparty Compatibility -- Relational Solver for Java Generics Type System -- Unification and substitution in (C)LP -- Predicate Anti-unification in (Constraint) Logic Programming -- A term matching algorithm and substitution generality -- Knowledge representation and AI-based learning -- A novel EGs-based framework forsystematic propositional-formula simplification -- From Static to Dynamic Access Control Policies via Attribute-Based Category Mining -- Towards a Certified Proof Checker for Deep Neural Network Verification.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 33rd International Symposium on Logic-Based Program Synthesis and Transformation, LOPSTR 2023, held in Cascais, Portugal, during October 23-24, 2023. The 8 full papers and 4 short papers included in this book were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Horn Clauses Analysis, Transformation and Synthesis; Static analysis and Type systems; Unification and substitution in (C)LP; and Knowledge representation and AI-based learning.
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K eynotes -- Unification modulo equational theories in languages with binding operators -- Horn Clauses Analysis, Transformation and Synthesis -- Design Datalog Templates for Synthesizing Bidirectional Programs from Tabular Examples -- Transforming big-step to small-step semantics using interpreter specialisation -- Constrained Horn Clauses Satisfiability via Catamorphic Abstractions -- Static analysis and Type systems -- A reusable machine-calculus for automated resource analyses -- Approach for Designing and Composing Abstract Domains -- A Logical Interpretation of Asynchronous Multiparty Compatibility -- Relational Solver for Java Generics Type System -- Unification and substitution in (C)LP -- Predicate Anti-unification in (Constraint) Logic Programming -- A term matching algorithm and substitution generality -- Knowledge representation and AI-based learning -- A novel EGs-based framework forsystematic propositional-formula simplification -- From Static to Dynamic Access Control Policies via Attribute-Based Category Mining -- Towards a Certified Proof Checker for Deep Neural Network Verification.

This book constitutes the refereed proceedings of the 33rd International Symposium on Logic-Based Program Synthesis and Transformation, LOPSTR 2023, held in Cascais, Portugal, during October 23-24, 2023. The 8 full papers and 4 short papers included in this book were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Horn Clauses Analysis, Transformation and Synthesis; Static analysis and Type systems; Unification and substitution in (C)LP; and Knowledge representation and AI-based learning.

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