Equational Programming

Download Equational Programming full books in PDF, epub, and Kindle. Read online free Equational Programming ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming
Author :
Publisher : Clarendon Press
Total Pages : 818
Release :
ISBN-10 : 9780191546280
ISBN-13 : 0191546283
Rating : 4/5 (283 Downloads)

Book Synopsis Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming by : Dov M. Gabbay

Download or read book Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming written by Dov M. Gabbay and published by Clarendon Press. This book was released on 1998-01-08 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-volume work covering all major areas of the application of logic to artificial intelligence and logic programming. The authors are chosen on an international basis and are leaders in the fields covered. Volume 5 is the last in this well-regarded series. Logic is now widely recognized as one of the foundational disciplines of computing. It has found applications in virtually all aspects of the subject, from software and hardware engineering to programming languages and artificial intelligence. In response to the growing need for an in-depth survey of these applications the Handbook of Logic in Artificial Intelligence and its companion, the Handbook of Logic in Computer Science have been created. The Handbooks are a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. Some mathematical background is assumed, and much of the material will be of interest to logicians and mathematicians. Volume 5 focuses particularly on logic programming. The chapters, which in many cases are of monograph length and scope, emphasize possible unifying themes.


Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming Related Books

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming
Language: en
Pages: 818
Authors: Dov M. Gabbay
Categories: Computers
Type: BOOK - Published: 1998-01-08 - Publisher: Clarendon Press

DOWNLOAD EBOOK

The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-volume work covering all major areas of the application of logic to artificial
Equational Logic as a Programming Language
Language: en
Pages: 334
Authors: Michael J. O'Donnell
Categories: Computers
Type: BOOK - Published: 1985 - Publisher: MIT Press (MA)

DOWNLOAD EBOOK

This book describes an ongoing equational programming project that started in 1975. Within the project an equational programming language interpreter has been d
Foundations of Equational Logic Programming
Language: en
Pages: 268
Authors: Steffen Hölldobler
Categories: Computers
Type: BOOK - Published: 1989 - Publisher: Lecture Notes in Artificial Intelligence

DOWNLOAD EBOOK

Equations play a vital role in many fields of mathematics, computer science, and artificial intelligence. Therefore, many proposals have been made to integrate
Programming Language Implementation and Logic Programming
Language: en
Pages: 488
Authors: Jaan Penjam
Categories: Computers
Type: BOOK - Published: 1994-08-24 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This volume constitutes the proceedings of the 6th International Symposium on Programming Language Implementation and Logic Programming (PLILP '94), held in Mad
Foundations of Probabilistic Programming
Language: en
Pages: 583
Authors: Gilles Barthe
Categories: Computers
Type: BOOK - Published: 2020-12-03 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, securit