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OverviewThis book constitutes the refereed proceedings of the 28th International Symposium on Practical Aspects of Declarative Languages, PADL 2026, held in Rennes, France, during January 2026. The 11 full papers and one short paper included in this book were carefully reviewed and selected from 24 submissions. The accepted papers span a range of topics related to functional and logic programming, including some novel applications of Answer Set Programming, language extensions, runtime monitoring, program transformations, type-checking, and applications of declarative programming techniques to artificial intelligence and machine learning, among others. Full Product DetailsAuthor: Nada Amin , Joaquín AriasPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG ISBN: 9783032159809ISBN 10: 3032159806 Pages: 219 Publication Date: 12 January 2026 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents.- Interpretable Configuration Optimization for Static Program Verification via Rule-Based and Counterfactual Reasoning. .- A One-Pass CPS Transform with Simulation on the Nose .- Property-Based Testing for Asynchronous Functional Reactive Programming Using Linear Temporal Logic .- Graph Rewriting Language as a Platform for Quantum Diagrammatic Calculi .- Determinacy Checking for Elpi: an Higher-Order Logic Programming Language with Cut. .- Multi-Configurable Search Rules in Prolog and Application to Testing. .- An Efficient Compiler for the IDP-Z3 Knowledge Base System. .- A Functional Logic Perspective on Indentation-Sensitive Parsing. .- Using Prolog to Translate Set Theory and B to SAT. .- REGAL: Extracting implicit rules in text using LLMs with logic program feedback. .- Declarative Debugging for Modern Networks. .- Solving hard combinatorial optimization problems with PyQASP.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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