Logic Programs

This book is dedicated to Marek Sergot, Professor in Computational Logic at Imperial College London, on the occasion of his 60th birthday. Professor Sergot’s scientific contributions range over many d

This book develops the theory of typed feature structures, a data structure that generalizes both first-order terms and feature structures of unification-based grammars to include inheritance, typing, inequality, cycles and intensionality. The resulting synthesis serves as a logical foundation for grammars, logic programming and constraint-based reasoning systems. A logical perspective is adopted which employs an attribute-value description language along with complete equational axiomatizations of the various systems of feature structures. At the same time, efficiency concerns are kept in mind and complexity and representability results are provided. The application of feature structures to phrase structure grammars is described and completeness results are shown for standard evaluation strategies. Definite clause logic programs are treated as a special case of phrase structure grammars. Constraint systems are introduced and an enumeration technique is developed for solving arbitrary

The purpose of the book is to help readers learn general programming topics, structured programming principles, and how to use basic tools and algorithms. There are two modules contained in Messinge

C++ PROGRAMS TO ACCOMPANY PROGRAMMING LOGIC AND DESIGN is specifically designed to be paired with the latest edition of Farrell's highly successful PROGRAMMING LOGIC AND DESIGN. Together, the two book

JAVA? PROGRAMS TO ACCOMPANY PROGRAMMING LOGIC AND DESIGN is specifically designed to be paired with the latest edition of Farrell's highly successful PROGRAMMING LOGIC AND DESIGN. Together, the two bo

MICROSOFT VISUAL BASIC PROGRAMS TO ACCOMPANY PROGRAMMING LOGIC AND DESIGN is specifically designed to be paired with the latest edition of Farrell's highly successful PROGRAMMING LOGIC AND DESIGN. Tog

Learn the fundamental principles of developing structured program logic and be prepared for success with Joyce Farrell�s PROGRAMMING LOGIC AND DESIGN, 10th EDITION. This edition takes a comprehensive and language-independent approach to programming logic with an emphasis on modern conventions. It avoids technical jargon while introducing universal programming concepts and ensuring strong programming style and logical thinking. Chapters contain figures that illustrate the logic described in the text, and there are diverse and project-rich opportunities for you to creatively apply logic to program designs. Flowcharts and pseudocode are employed to appeal to varied learning styles and preferences. Chapters contain learning objectives, notes and short quizzes, summaries, key terms and multiple-choice review. Plus, there are multiple exercises in developing programming logic, maintaining existing programs, debugging programs that contain errors, and developing simple games.

Formal systems that describe computations over syntactic structures occur frequently in computer science. Logic programming provides a natural framework for encoding and animating such systems. However, these systems often embody variable binding, a notion that must be treated carefully at a computational level. This book aims to show that a programming language based on a simply typed version of higher-order logic provides an elegant, declarative means for providing such a treatment. Three broad topics are covered in pursuit of this goal. First, a proof-theoretic framework that supports a general view of logic programming is identified. Second, an actual language called λProlog is developed by applying this view to higher-order logic. Finally, a methodology for programming with specifications is exposed by showing how several computations over formal objects such as logical formulas, functional programs, and λ-terms and π-calculus expressions can be encoded in λProlog.

This book is concerned with techniques for formal theorem-proving, with particular reference to Cambridge LCF (Logic for Computable Functions). Cambridge LCF is a computer program for reasoning about computation. It combines the methods of mathematical logic with domain theory, the basis of the denotational approach to specifying the meaning of program statements. Cambridge LCF is based on an earlier theorem-proving system, Edinburgh LCF, which introduced a design that gives the user flexibility to use and extend the system. A goal of this book is to explain the design, which has been adopted in several other systems. The book consists of two parts. Part I outlines the mathematical preliminaries, elementary logic and domain theory, and explains them at an intuitive level, giving reference to more advanced reading; Part II provides sufficient detail to serve as a reference manual for Cambridge LCF. It will also be a useful guide for implementors of other programs based on the LCF approa

Poverty relief programs are shaped by politics. The particular design which social programs take is to a large extent determined by the existing institutional constraints and politicians' imperative to win elections. The Political Logic of Poverty Relief places elections and institutional design at the core of poverty alleviation. The authors develop a theory with applications to Mexico about how elections shape social programs aimed at aiding the poor. Would political parties possess incentives to target the poor with transfers aimed at poverty alleviation or would they instead give these to their supporters? Would politicians rely on the distribution of particularistic benefits rather than public goods? The authors assess the welfare effects of social programs in Mexico and whether voters reward politicians for targeted poverty alleviation programs. The book provides a new interpretation of the role of cash transfers and poverty relief assistance in the development of welfare state i

Poverty relief programs are shaped by politics. The particular design which social programs take is to a large extent determined by the existing institutional constraints and politicians' imperative to win elections. The Political Logic of Poverty Relief places elections and institutional design at the core of poverty alleviation. The authors develop a theory with applications to Mexico about how elections shape social programs aimed at aiding the poor. Would political parties possess incentives to target the poor with transfers aimed at poverty alleviation or would they instead give these to their supporters? Would politicians rely on the distribution of particularistic benefits rather than public goods? The authors assess the welfare effects of social programs in Mexico and whether voters reward politicians for targeted poverty alleviation programs. The book provides a new interpretation of the role of cash transfers and poverty relief assistance in the development of welfare state i

JAVA? PROGRAMS TO ACCOMPANY PROGRAMMING LOGIC AND DESIGN is specifically designed to be paired with the latest edition of Farrell's highly successful PROGRAMMING LOGIC AND DESIGN. Together, the two bo

From the 1950s, tens of thousands of well-meaning Westerners left their homes to volunteer in distant corners of the globe. Aflame with optimism, they set out to save the world, but their actions were invariably intertwined with decolonization, globalization and the Cold War. Closely exploring British, American and Australian programs, Agnieszka Sobocinska situates Western volunteers at the heart of the 'humanitarian-development complex'. This nexus of governments, NGOs, private corporations and public opinion encouraged continuous and accelerating intervention in the Global South from the 1950s. Volunteers attracted a great deal of support in their home countries. But critics across the Global South protested that volunteers put an attractive face on neocolonial power, and extended the logic of intervention embedded in the global system of international development. Saving the World? brings together a wide range of sources to construct a rich narrative of the meeting between Global No

What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core.

A primer on the underlying technologies that allow computer programs to work. Covers topics like computer hardware, combinatorial logic, sequential logic, computer architecture, computer anatomy, and

The curious flight patterns of crows lead a teen computer programmer down a path of mystery and romance.Gin trusts logic a little too much. She even designs programs to decide what to eat and how to s

For introductory courses in computer programming. Help students understand the logic behind developing high-quality programs Starting Out with C++: From Control Structures through Objects ,

Separation logic is the twenty-first-century variant of Hoare logic that permits verification of pointer-manipulating programs. This book covers practical and theoretical aspects of separation logic at a level accessible to beginning graduate students interested in software verification. On the practical side it offers an introduction to verification in Hoare and separation logics, simple case studies for toy languages, and the Verifiable C program logic for the C programming language. On the theoretical side it presents separation algebras as models of separation logics; step-indexed models of higher-order logical features for higher-order programs; indirection theory for constructing step-indexed separation algebras; tree-shares as models for shared ownership; and the semantic construction (and soundness proof) of Verifiable C. In addition, the book covers several aspects of the CompCert verified C compiler, and its connection to foundationally verified software analysis tools. All c

There is an increasing need for undergraduate students in physics to have a core set of computational tools. Most problems in physics benefit from numerical methods, and many of them resist analytical solution altogether. This textbook presents numerical techniques for solving familiar physical problems where a complete solution is inaccessible using traditional mathematical methods. The numerical techniques for solving the problems are clearly laid out, with a focus on the logic and applicability of the method. The same problems are revisited multiple times using different numerical techniques, so readers can easily compare the methods. The book features over 250 end-of-chapter exercises. A website hosted by the author features a complete set of programs used to generate the examples and figures, which can be used as a starting point for further investigation. A link to this can be found at www.cambridge.org/9781107034303.

Unfortunately Organic Chemistry courses have often been seen as a gateway for weeding out students from various programs instead of a foundation course in constructing creative logic skills. Students

A systematic program design method can help developers ensure the correctness and performance of programs while minimizing the development cost. This book describes a method that starts with a clear specification of a computation and derives an efficient implementation by step-wise program analysis and transformations. The method applies to problems specified in imperative, database, functional, logic and object-oriented programming languages with different data, control and module abstractions. Designed for courses or self-study, this book includes numerous exercises and examples that require minimal computer science background, making it accessible to novices. Experienced practitioners and researchers will appreciate the detailed examples in a wide range of application areas including hardware design, image processing, access control, query optimization and program analysis. The last section of the book points out directions for future studies.

A systematic program design method can help developers ensure the correctness and performance of programs while minimizing the development cost. This book describes a method that starts with a clear specification of a computation and derives an efficient implementation by step-wise program analysis and transformations. The method applies to problems specified in imperative, database, functional, logic and object-oriented programming languages with different data, control and module abstractions. Designed for courses or self-study, this book includes numerous exercises and examples that require minimal computer science background, making it accessible to novices. Experienced practitioners and researchers will appreciate the detailed examples in a wide range of application areas including hardware design, image processing, access control, query optimization and program analysis. The last section of the book points out directions for future studies.

What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual pro

What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual pro

Knowledge management and knowledge-based intelligence are areas of importance in the economy and society, and to exploit them fully and efficiently it is necessary both to represent and reason about knowledge via a declarative interface whose input language is based on logic. In this book, originally published in 2003, Chitta Baral shows exactly how to go about doing that: how to write programs that behave intelligently by giving them the ability to express knowledge and reason about it. He presents a language, AnsProlog, for both knowledge representation and reasoning, and declarative problem solving. The results have been organised here into a form that will appeal to practising and would-be knowledge engineers wishing to learn more about the subject, either in courses or through self-teaching. A comprehensive bibliography rounds off the book.

Growing Public examines the question of whether social policies that redistribute income impose constraints on economic growth. What kept prospering nations from using taxes for social programs until the end of the nineteenth century? Why did taxes and spending then grow so much, and what are the prospects for social spending in this century? Why did North America become a leader in public education in some ways and not others? Lindert finds answers in the economic history and logic of political voice, population ageing, and income growth. Contrary to traditional beliefs, the net national costs of government social programs are virtually zero. This book not only shows that no Darwinian mechanism has punished the welfare states, but uses history to explain why this surprising result makes sense. Contrary to the intuition of many economists and the ideology of many politicians, social spending has contributed to, rather than inhibited, economic growth.

Constraint Handling Rules (CHR) is both a theoretical formalism based on logic and a practical programming language based on rules. This book, written by the creator of CHR, describes the theory of CHR and how to use it in practice. It is supported by a website containing teaching materials, online demos, and free downloads of the language. After a basic tutorial, the author describes in detail the CHR language and discusses guaranteed properties of CHR programs. The author then compares CHR with other formalisms and languages and illustrates how it can capture their essential features. Finally, larger programs are introduced and analyzed in detail. The book is ideal for graduate students and lecturers, and for more experienced programmers and researchers, who can use it for self-study. Exercises with selected solutions, and bibliographic remarks are included at the ends of chapters. The book is the definitive reference on the subject.

Monitoring Ecological Impacts provides the tools needed by professional ecologists, scientists, engineers, planners and managers to design assessment programs that can reliably monitor, detect and allow management of human impacts on the natural environment. The procedures described are well grounded in inferential logic, and the statistical models needed to analyse complex data are given. Step-by-step guidelines and flow diagrams provide the reader with clear and useable protocols, which can be applied in any region of the world and to a wide range of human impacts. In addition, real examples are used to show how the theory can be put into practice. Although the context of this book is flowing water environments, especially rivers and streams, the advice for designing assessment programs can be applied to any ecosystem.

Declarative programs consist of mathematical functions and relations and are amenable to formal specification and verification, since the methods of logic and proof can be applied to the programs in a well-defined manner. Here Dr Padawitz emphasizes verification based on logical inference rules, i.e. deduction (in contrast with model-theoretic approaches, deductive methods can be automated to some extent). His treatment of the subject differs from others in that he tries to capture the actual styles and applications of programming; neither too general with respect to the underlying logic, nor too restrictive for the practice of programming. He generalizes and unifies results from classical theorem-proving and term rewriting to provide proof methods tailored to declarative program synthesis and verification. Detailed examples accompany the development of the methods, whose use is supported by a documented prototyping system. The book can be used for graduate courses or as a reference fo

How many programs does it take to change a youth group?That question has bothered youth workers for decades, and the cracks in its logic are beginning to show. In place of the contrived, artificial me

Growing Public examines the question of whether social policies that redistribute income impose constraints on economic growth. What kept prospering nations from using taxes for social programs until the end of the nineteenth century? Why did taxes and spending then grow so much, and what are the prospects for social spending in this century? Why did North America become a leader in public education in some ways and not others? Lindert finds answers in the economic history and logic of political voice, population ageing, and income growth. Contrary to traditional beliefs, the net national costs of government social programs are virtually zero. This book not only shows that no Darwinian mechanism has punished the welfare states, but uses history to explain why this surprising result makes sense. Contrary to the intuition of many economists and the ideology of many politicians, social spending has contributed to, rather than inhibited, economic growth.

In this lively series of essays, Tom Dean explores interesting fundamental topics in computer science with the aim of showing how computers and computer programs work and how the various subfields of computer science are connected. Along the way, he conveys his fascination with computers and enthusiasm for working in a field that has changed almost every aspect of our daily lives. The essays touch on a wide range of topics, from digital logic and machine language to artificial intelligence and searching the World Wide Web, considering such questions as: • How can a computer learn to recognize junk email? • What happens when you click on a link in a browser? • How can you program a robot to do two things at once? • Are there limits on what computers can do? The author invites readers to experiment with short programs written in several languages. Through these interactions he grounds the models and metaphors of computer science and makes the underlying computational ideas more concrete.

In this lively series of essays, Tom Dean explores interesting fundamental topics in computer science with the aim of showing how computers and computer programs work and how the various subfields of computer science are connected. Along the way, he conveys his fascination with computers and enthusiasm for working in a field that has changed almost every aspect of our daily lives. The essays touch on a wide range of topics, from digital logic and machine language to artificial intelligence and searching the World Wide Web, considering such questions as: • How can a computer learn to recognize junk email? • What happens when you click on a link in a browser? • How can you program a robot to do two things at once? • Are there limits on what computers can do? The author invites readers to experiment with short programs written in several languages. Through these interactions he grounds the models and metaphors of computer science and makes the underlying computational ideas more concrete.

Growing Public examines the question of whether social policies that redistribute income impose constraints on economic growth. Taxes and transfers have been debated for centuries, but only now can we get a clear view of the whole evolution of social spending. What kept prospering nations from using taxes for social programs until the end of the nineteenth century? Why did taxes and spending then grow so much, and what are the prospects for social spending in this century? Why did North America become a leader in public education in some ways and not others? Lindert finds answers in the economic history and logic of political voice, population aging, and income growth. Contrary to traditional beliefs, the net national costs of government social programs are virtually zero. This book not only shows that no Darwinian mechanism has punished the welfare states, but uses history to explain why this surprising result makes sense. Contrary to the intuition of many economists and the ideology

Growing Public examines the question of whether social policies that redistribute income impose constraints on economic growth. Taxes and transfers have been debated for centuries, but only now can we get a clear view of the whole evolution of social spending. What kept prospering nations from using taxes for social programs until the end of the nineteenth century? Why did taxes and spending then grow so much, and what are the prospects for social spending in this century? Why did North America become a leader in public education in some ways and not others? Lindert finds answers in the economic history and logic of political voice, population aging, and income growth. Contrary to traditional beliefs, the net national costs of government social programs are virtually zero. This book not only shows that no Darwinian mechanism has punished the welfare states, but uses history to explain why this surprising result makes sense. Contrary to the intuition of many economists and the ideology

Knowledge management and knowledge-based intelligence are areas of importance in the economy and society, and to exploit them fully and efficiently it is necessary both to represent and reason about knowledge via a declarative interface whose input language is based on logic. In this book, originally published in 2003, Chitta Baral shows exactly how to go about doing that: how to write programs that behave intelligently by giving them the ability to express knowledge and reason about it. He presents a language, AnsProlog, for both knowledge representation and reasoning, and declarative problem solving. The results have been organised here into a form that will appeal to practising and would-be knowledge engineers wishing to learn more about the subject, either in courses or through self-teaching. A comprehensive bibliography rounds off the book.