Handbook of Logic in Artificial Intelligence and Logic Programming: Epistemic and temporal reasoning

Handbook of Logic in Artificial Intelligence and Logic Programming: Epistemic and temporal reasoning PDF

Author: Dov M. Gabbay

Publisher: Oxford University Press, USA

Published: 1993

Total Pages: 611

ISBN-13: 9780198537915

DOWNLOAD EBOOK →

The handbook of logic in artificial intelligence and logic programming is an international reference work in five volumes. It has been created in response to the growing need for an in-depth survey of the applications of logic in artifical intelligence. The dramatic increase in research in recent years means that logic is now widely recognised as one of the foundational disciplines of computing and has found applications in virtually all aspects of the subject, from software engineeringand hardware to programming languages and artificial intelligence. Yet this handbook is the first authoritative text to pull together the accumulated research level material, and as such is a unique and invaluable reference source. The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-author multi-volume work covering all the major areas of application of logic to artifical intelligence and logic programming. The Handbook comprises five volumes, each an in-depth overview of one of the major topics in this area. It is the result of years of co-operative effort by internationally renowned researchers in the field, and will no doubt be the standard reference work in artifical intelligence and logic programming for years to come- essential reading for all those interested in this subject. This latest volume covers, among other subjects, epistemic reasoning, time and change for AI, and temporal nonmonotonic reasoning.

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 PDF

Author: Dov M. Gabbay

Publisher: Clarendon Press

Published: 1998-01-08

Total Pages: 818

ISBN-13: 0191546283

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 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 1: Logic Foundations

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 1: Logic Foundations PDF

Author: Dov M. Gabbay

Publisher: Clarendon Press

Published: 1993-06-24

Total Pages: 534

ISBN-13: 9780198537458

DOWNLOAD EBOOK →

BL A comprehensive five volume work BL Sets the standard in reference for logic and artificial intelligence The Handbook of Logic in Artificial Intelligence and Logic Programming will be published in five volumes. The handbook comes in response to the growing need for an in-depth survey of the applications of logic in artificial intelligence and computer science. This first volume presents the logical foundations and deduction methodologies extensively used in AI.

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 1: Logic Foundations

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 1: Logic Foundations PDF

Author: Dov M. Gabbay

Publisher: Clarendon Press

Published: 1993-06-24

Total Pages: 534

ISBN-13: 9780198537458

DOWNLOAD EBOOK →

BL A comprehensive five volume work BL Sets the standard in reference for logic and artificial intelligence The Handbook of Logic in Artificial Intelligence and Logic Programming will be published in five volumes. The handbook comes in response to the growing need for an in-depth survey of the applications of logic in artificial intelligence and computer science. This first volume presents the logical foundations and deduction methodologies extensively used in AI.

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 3: Nonmonotonic Reasoning and Uncertain Reasoning

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 3: Nonmonotonic Reasoning and Uncertain Reasoning PDF

Author: Dov M. Gabbay

Publisher: Clarendon Press

Published: 1994-03-17

Total Pages: 0

ISBN-13: 9780198537472

DOWNLOAD EBOOK →

The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-author volume work covering all major areas of application of logic to AI and logic programming. Initially there will be six volumes containing a total of 43 articles, each article averaging around 75 pages in length but with some rather longer as the subject may demand. The authors are chosen on an international basis and are leaders in the fields covered. The Handbook is a closely co-ordinated work which has been under development for the past five years. Volume 3 covers nonmonotonic reasoning.

Inductive Logic Programming

Inductive Logic Programming PDF

Author: Francesco Bergadano

Publisher: MIT Press

Published: 1996

Total Pages: 264

ISBN-13: 9780262023931

DOWNLOAD EBOOK →

Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance. Inductive Logic Programming includes a definition of the basic ILP problem and its variations (incremental, with queries, for multiple predicates and predicate invention capabilities), a description of bottom-up operators and techniques (such as least general generalization, inverse resolution, and inverse implication), an analysis of top-down methods (mainly MIS and FOIL-like systems), and a survey of methods and languages for specifying inductive bias. Logic Programming series

Handbook of Logic in Artificial Intelligence and Logic Programming

Handbook of Logic in Artificial Intelligence and Logic Programming PDF

Author: Dov M. Gabbay

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9781383026047

DOWNLOAD EBOOK →

Provides authoritative exposition, comprehensive survey, and fundamental research exploring the underlying unifying themes in the various areas of application of logic in artificial intelligence and computer science. The book assumes as background some mathematical sophistication.

Computational Logic

Computational Logic PDF

Author: Dov M. Gabbay

Publisher: Newnes

Published: 2014-12-09

Total Pages: 737

ISBN-13: 0080930670

DOWNLOAD EBOOK →

Handbook of the History of Logic brings to the development of logic the best in modern techniques of historical and interpretative scholarship. Computational logic was born in the twentieth century and evolved in close symbiosis with the advent of the first electronic computers and the growing importance of computer science, informatics and artificial intelligence. With more than ten thousand people working in research and development of logic and logic-related methods, with several dozen international conferences and several times as many workshops addressing the growing richness and diversity of the field, and with the foundational role and importance these methods now assume in mathematics, computer science, artificial intelligence, cognitive science, linguistics, law and many engineering fields where logic-related techniques are used inter alia to state and settle correctness issues, the field has diversified in ways that even the pure logicians working in the early decades of the twentieth century could have hardly anticipated. Logical calculi, which capture an important aspect of human thought, are now amenable to investigation with mathematical rigour and computational support and fertilized the early dreams of mechanised reasoning: “Calculemus . The Dartmouth Conference in 1956 – generally considered as the birthplace of artificial intelligence – raised explicitly the hopes for the new possibilities that the advent of electronic computing machinery offered: logical statements could now be executed on a machine with all the far-reaching consequences that ultimately led to logic programming, deduction systems for mathematics and engineering, logical design and verification of computer software and hardware, deductive databases and software synthesis as well as logical techniques for analysis in the field of mechanical engineering. This volume covers some of the main subareas of computational logic and its applications. Chapters by leading authorities in the field Provides a forum where philosophers and scientists interact Comprehensive reference source on the history of logic

Lanterna Rally - Theme by Grace Themes