Practical Aspects of Declarative Languages 19th International Symposium, PADL 2017, Paris, France, January 16-17, 2017, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lierler, Yuliya (Επιμελητής έκδοσης), Taha, Walid (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Lecture Notes in Computer Science, 10137
• Θέματα: Computer science.; Computer programming.; Software engineering.; Programming languages (Electronic computers).; Computer logic.; Artificial intelligence.; Application software.; Computer Science.; Programming Languages, Compilers, Interpreters.; Programming Techniques.; Logics and Meanings of Programs.; Software Engineering.; Artificial Intelligence (incl. Robotics).; Computer Appl. in Administrative Data Processing.

This book constitutes the proceedings of the 19th International Symposium on Practical Aspects of Declarative Languages, PADL 2017, held in Paris, France, in January 2017 and collocated with the ACM SIGPLAN Symposium on Principles of Programming Languages. The 14 papers presented in this volume were...

Πίνακας περιεχομένων:

• Eliminating Irrelevant Non-determinism in Functional Logic Programs
• Canonicalizing High-Level Constructs in Picat
• An Overview of P_rhoLog
• Integrating Answer Set Programming with Object-oriented Languages
• Extending Answer Set Programs with Interpreted Functions as First-class Citizens
• Lowering the learning curve for declarative programming: a Python API for the IDP system
• Failing Faster: Overlapping Patterns for Property-Based Testing
• Boltzmann Samplers for Closed Simply-Typed Lambda Terms
• Selection Equilibria of Higher-Order Games
• DALI for Cognitive Robotics: Principles and Prototype Implementation
• Funky Grooves: Declarative Programming of Full-Fledged Musical Applications
• A Domain-Specific Language for Software-Defined Radio
• A Declarative DSL for Customizing ASCII Art
• Using Iterative Deepening for Probabilistic Logic Inference.