Author: J. M. Spivey
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 232
Book Description
Logic programming has increasing significance in computer science beyond the current fashion for expert systems. This book takes a software engineering rather than an expert systems/AI approach and covers logical theory, practical programming and PROLOG im
An Introduction to Logic Programming Through Prolog
Author: J. M. Spivey
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 232
Book Description
Logic programming has increasing significance in computer science beyond the current fashion for expert systems. This book takes a software engineering rather than an expert systems/AI approach and covers logical theory, practical programming and PROLOG im
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 232
Book Description
Logic programming has increasing significance in computer science beyond the current fashion for expert systems. This book takes a software engineering rather than an expert systems/AI approach and covers logical theory, practical programming and PROLOG im
Introduction to Logic Programming
Author: Michael Michael Genesereth
Publisher: Springer Nature
ISBN: 303101586X
Category : Computers
Languages : en
Pages : 199
Book Description
Logic Programming is a style of programming in which programs take the form of sets of sentences in the language of Symbolic Logic. Over the years, there has been growing interest in Logic Programming due to applications in deductive databases, automated worksheets, Enterprise Management (business rules), Computational Law, and General Game Playing. This book introduces Logic Programming theory, current technology, and popular applications. In this volume, we take an innovative, model-theoretic approach to logic programming. We begin with the fundamental notion of datasets, i.e., sets of ground atoms. Given this fundamental notion, we introduce views, i.e., virtual relations; and we define classical logic programs as sets of view definitions, written using traditional Prolog-like notation but with semantics given in terms of datasets rather than implementation. We then introduce actions, i.e., additions and deletions of ground atoms; and we define dynamic logic programs as sets of action definitions. In addition to the printed book, there is an online version of the text with an interpreter and a compiler for the language used in the text and an integrated development environment for use in developing and deploying practical logic programs.
Publisher: Springer Nature
ISBN: 303101586X
Category : Computers
Languages : en
Pages : 199
Book Description
Logic Programming is a style of programming in which programs take the form of sets of sentences in the language of Symbolic Logic. Over the years, there has been growing interest in Logic Programming due to applications in deductive databases, automated worksheets, Enterprise Management (business rules), Computational Law, and General Game Playing. This book introduces Logic Programming theory, current technology, and popular applications. In this volume, we take an innovative, model-theoretic approach to logic programming. We begin with the fundamental notion of datasets, i.e., sets of ground atoms. Given this fundamental notion, we introduce views, i.e., virtual relations; and we define classical logic programs as sets of view definitions, written using traditional Prolog-like notation but with semantics given in terms of datasets rather than implementation. We then introduce actions, i.e., additions and deletions of ground atoms; and we define dynamic logic programs as sets of action definitions. In addition to the printed book, there is an online version of the text with an interpreter and a compiler for the language used in the text and an integrated development environment for use in developing and deploying practical logic programs.
Introduction to Logic Programming
Author: Christopher John Hogger
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 304
Book Description
Representation and reasoning; Logic programs; Programming style; Data structures; Program verification; Formal program synthesis; Implementation; Broader contributions to computing.
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 304
Book Description
Representation and reasoning; Logic programs; Programming style; Data structures; Program verification; Formal program synthesis; Implementation; Broader contributions to computing.
Logic Programming with Prolog
Author: Max Bramer
Publisher: Springer Science & Business Media
ISBN: 1846282128
Category : Computers
Languages : en
Pages : 228
Book Description
Written for those who wish to learn Prolog as a powerful software development tool, but do not necessarily have any background in logic or AI. Includes a full glossary of the technical terms and self-assessment exercises.
Publisher: Springer Science & Business Media
ISBN: 1846282128
Category : Computers
Languages : en
Pages : 228
Book Description
Written for those who wish to learn Prolog as a powerful software development tool, but do not necessarily have any background in logic or AI. Includes a full glossary of the technical terms and self-assessment exercises.
Foundations of Logic Programming
Author: J. W. Lloyd
Publisher: Springer Science & Business Media
ISBN: 3642968260
Category : Computers
Languages : en
Pages : 135
Book Description
This book gives an account oC the mathematical Coundations oC logic programming. I have attempted to make the book selC-contained by including prooCs of almost all the results needed. The only prerequisites are some Camiliarity with a logic programming language, such as PROLOG, and a certain mathematical maturity. For example, the reader should be Camiliar with induction arguments and be comCortable manipulating logical expressions. Also the last chapter assumes some acquaintance with the elementary aspects of metric spaces, especially properties oC continuous mappings and compact spaces. Chapter 1 presents the declarative aspects of logic programming. This chapter contains the basic material Crom first order logic and fixpoint theory which will be required. The main concepts discussed here are those oC a logic program, model, correct answer substitution and fixpoint. Also the unification algorithm is discussed in some detail. Chapter 2 is concerned with the procedural semantics oC logic programs. The declarative concepts are implemented by means oC a specialized Corm oC resolution, called SLD-resolution. The main results of this chapter concern the soundness and completeness oC SLD-resolution and the independence oC the computation rule. We also discuss the implications of omitting the occur check from PROLOG implementations. Chapter 3 discusses negation. Current PROLOG systems implement a form of negation by means of the negation as failure rule. The main results of this chapter are the soundness and completeness oC the negation as failure rule.
Publisher: Springer Science & Business Media
ISBN: 3642968260
Category : Computers
Languages : en
Pages : 135
Book Description
This book gives an account oC the mathematical Coundations oC logic programming. I have attempted to make the book selC-contained by including prooCs of almost all the results needed. The only prerequisites are some Camiliarity with a logic programming language, such as PROLOG, and a certain mathematical maturity. For example, the reader should be Camiliar with induction arguments and be comCortable manipulating logical expressions. Also the last chapter assumes some acquaintance with the elementary aspects of metric spaces, especially properties oC continuous mappings and compact spaces. Chapter 1 presents the declarative aspects of logic programming. This chapter contains the basic material Crom first order logic and fixpoint theory which will be required. The main concepts discussed here are those oC a logic program, model, correct answer substitution and fixpoint. Also the unification algorithm is discussed in some detail. Chapter 2 is concerned with the procedural semantics oC logic programs. The declarative concepts are implemented by means oC a specialized Corm oC resolution, called SLD-resolution. The main results of this chapter concern the soundness and completeness oC SLD-resolution and the independence oC the computation rule. We also discuss the implications of omitting the occur check from PROLOG implementations. Chapter 3 discusses negation. Current PROLOG systems implement a form of negation by means of the negation as failure rule. The main results of this chapter are the soundness and completeness oC the negation as failure rule.
Computing with Logic
Author: David Maier
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 564
Book Description
Computing with logic / Maier, D., Warren, D.S.
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 564
Book Description
Computing with logic / Maier, D., Warren, D.S.
Foundations of Inductive Logic Programming
Author: Shan-Hwei Nienhuys-Cheng
Publisher: Springer Science & Business Media
ISBN: 9783540629276
Category : Computers
Languages : en
Pages : 440
Book Description
The state of the art of the bioengineering aspects of the morphology of microorganisms and their relationship to process performance are described in this volume. Materials and methods of the digital image analysis and mathematical modeling of hyphal elongation, branching and pellet formation as well as their application to various fungi and actinomycetes during the production of antibiotics and enzymes are presented.
Publisher: Springer Science & Business Media
ISBN: 9783540629276
Category : Computers
Languages : en
Pages : 440
Book Description
The state of the art of the bioengineering aspects of the morphology of microorganisms and their relationship to process performance are described in this volume. Materials and methods of the digital image analysis and mathematical modeling of hyphal elongation, branching and pellet formation as well as their application to various fungi and actinomycetes during the production of antibiotics and enzymes are presented.
Mathematical Logic through Python
Author: Yannai A. Gonczarowski
Publisher: Cambridge University Press
ISBN: 1108957692
Category : Computers
Languages : en
Pages : 286
Book Description
Using a unique pedagogical approach, this text introduces mathematical logic by guiding students in implementing the underlying logical concepts and mathematical proofs via Python programming. This approach, tailored to the unique intuitions and strengths of the ever-growing population of programming-savvy students, brings mathematical logic into the comfort zone of these students and provides clarity that can only be achieved by a deep hands-on understanding and the satisfaction of having created working code. While the approach is unique, the text follows the same set of topics typically covered in a one-semester undergraduate course, including propositional logic and first-order predicate logic, culminating in a proof of Gödel's completeness theorem. A sneak peek to Gödel's incompleteness theorem is also provided. The textbook is accompanied by an extensive collection of programming tasks, code skeletons, and unit tests. Familiarity with proofs and basic proficiency in Python is assumed.
Publisher: Cambridge University Press
ISBN: 1108957692
Category : Computers
Languages : en
Pages : 286
Book Description
Using a unique pedagogical approach, this text introduces mathematical logic by guiding students in implementing the underlying logical concepts and mathematical proofs via Python programming. This approach, tailored to the unique intuitions and strengths of the ever-growing population of programming-savvy students, brings mathematical logic into the comfort zone of these students and provides clarity that can only be achieved by a deep hands-on understanding and the satisfaction of having created working code. While the approach is unique, the text follows the same set of topics typically covered in a one-semester undergraduate course, including propositional logic and first-order predicate logic, culminating in a proof of Gödel's completeness theorem. A sneak peek to Gödel's incompleteness theorem is also provided. The textbook is accompanied by an extensive collection of programming tasks, code skeletons, and unit tests. Familiarity with proofs and basic proficiency in Python is assumed.
Programming Logic and Design
Author: Joyce Farrell
Publisher:
ISBN: 9780619216917
Category : Computer programming
Languages : en
Pages : 0
Book Description
Programming Logic and Design, Comprehensive, Third Edition provides the beginning programmer with a guide to developing structured program logic. This textbook assumes no programming experience and does not focus on any one particular language. It introduces programming concepts and enforces good style and logical thinking. New elements found in this edition include a complete program example in each chapter; key terms and 20 review questions at the end of every chapter; more thorough coverage of modularization, object-oriented concepts, and event handling; earlier coverage of style and design issues; and a new appendix on numbering systems.
Publisher:
ISBN: 9780619216917
Category : Computer programming
Languages : en
Pages : 0
Book Description
Programming Logic and Design, Comprehensive, Third Edition provides the beginning programmer with a guide to developing structured program logic. This textbook assumes no programming experience and does not focus on any one particular language. It introduces programming concepts and enforces good style and logical thinking. New elements found in this edition include a complete program example in each chapter; key terms and 20 review questions at the end of every chapter; more thorough coverage of modularization, object-oriented concepts, and event handling; earlier coverage of style and design issues; and a new appendix on numbering systems.
Foundations of Probabilistic Logic Programming
Author: Fabrizio Riguzzi
Publisher: CRC Press
ISBN: 1000923215
Category : Computers
Languages : en
Pages : 548
Book Description
Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. This book aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online. This 2nd edition aims at reporting the most exciting novelties in the field since the publication of the 1st edition. The semantics for hybrid programs with function symbols was placed on a sound footing. Probabilistic Answer Set Programming gained a lot of interest together with the studies on the complexity of inference. Algorithms for solving the MPE and MAP tasks are now available. Inference for hybrid programs has changed dramatically with the introduction of Weighted Model Integration. With respect to learning, the first approaches for neuro-symbolic integration have appeared together with algorithms for learning the structure for hybrid programs. Moreover, given the cost of learning PLPs, various works proposed language restrictions to speed up learning and improve its scaling.
Publisher: CRC Press
ISBN: 1000923215
Category : Computers
Languages : en
Pages : 548
Book Description
Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. This book aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online. This 2nd edition aims at reporting the most exciting novelties in the field since the publication of the 1st edition. The semantics for hybrid programs with function symbols was placed on a sound footing. Probabilistic Answer Set Programming gained a lot of interest together with the studies on the complexity of inference. Algorithms for solving the MPE and MAP tasks are now available. Inference for hybrid programs has changed dramatically with the introduction of Weighted Model Integration. With respect to learning, the first approaches for neuro-symbolic integration have appeared together with algorithms for learning the structure for hybrid programs. Moreover, given the cost of learning PLPs, various works proposed language restrictions to speed up learning and improve its scaling.