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Guide to Teaching Computer Science: An Activity-Based Approach

by Orit Hazzan Noa Ragonis Tami Lapidot

This concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed implementation guidelines, the work is designed to support a Methods of Teaching Computer Science (MTCS) course, but may be applied to the teaching of any area of computer science at any level, from elementary school to university. This text is not limited to any specific curriculum or programming language, but instead suggests various options for lesson and syllabus organization.Fully updated and revised, the third edition features more than 40 new activities, bringing the total to more than 150, together with new chapters on computational thinking, data science, and soft concepts and soft skills. This edition also introduces new conceptual frameworks for teaching such as the MERge model, and new formats for the professional development of computer science educators.Topics and features: includes an extensive set of activities, to further support the pedagogical principles outlined in each chapter; discusses educational approaches to computational thinking, how to address soft concepts and skills in a MTCS course, and the pedagogy of data science (NEW); focuses on teaching methods, lab-based teaching, and research in computer science education, as well as on problem-solving strategies; examines how to recognize and address learners’ misconceptions, and the different types of questions teachers can use to vary their teaching methods; provides coverage of assessment, teaching planning, and designing a MTCS course; reviews high school teacher preparation programs, and how prospective teachers can gain experience in teaching computer science.This easy-to-follow textbook and teaching guide will prove invaluable to computer science educators within all frameworks, including university instructors and high school teachers, as well as to instructors of computer science teacher preparation programs.

Guide to Teaching Computer Science

by Tami Lapidot Orit Hazzan Noa Ragonis

This guide presents both a conceptual framework and detailed implementation guidelines for general computer science (CS) teaching. The content is clearly written and structured to be applicable to all levels of CS education and for any teaching organization, without limiting its focus to instruction for any specific curriculum, programming language or paradigm. Features: presents an overview of research in CS education; examines strategies for teaching problem-solving, evaluating pupils, and for dealing with pupils' misunderstandings; provides learning activities throughout the book; proposes active-learning-based classroom teaching methods, as well as methods specifically for lab-based teaching; discusses various types of questions that a CS instructor, tutor, or trainer can use for a range of different teaching situations; investigates thoroughly issues of lesson planning and course design; describes frameworks by which prospective CS teachers gain their first teaching experience.

Guide to Teaching Data Science: An Interdisciplinary Approach

by Orit Hazzan Koby Mike

Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry.This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people.This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).Professor Orit Hazzan is a faculty member at the Technion’s Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations.Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.

Guide to Teaching Puzzle-based Learning

by Edwin F. Meyer Nickolas Falkner Raja Sooriamurthi Zbigniew Michalewicz

This book provides insights drawn from the authors' extensive experience in teaching Puzzle-based Learning. Practical advice is provided for teachers and lecturers evaluating a range of different formats for varying class sizes. Features: suggests numerous entertaining puzzles designed to motivate students to think about framing and solving unstructured problems; discusses models for student engagement, setting up puzzle clubs, hosting a puzzle competition, and warm-up activities; presents an overview of effective teaching approaches used in Puzzle-based Learning, covering a variety of class activities, assignment settings and assessment strategies; examines the issues involved in framing a problem and reviews a range of problem-solving strategies; contains tips for teachers and notes on common student pitfalls throughout the text; provides a collection of puzzle sets for use during a Puzzle-based Learning event, including puzzles that require probabilistic reasoning, and logic and geometry puzzles.

Guide to the De-Identification of Personal Health Information

by Khaled El Emam

Offering compelling practical and legal reasons why de-identification should be one of the main approaches to protecting patients' privacy, the Guide to the De-Identification of Personal Health Information outlines a proven, risk-based methodology for the de-identification of sensitive health information. It situates and contextualizes this risk-ba

A Guide to the National Initiative for Cybersecurity Education: A Guide To The National Initiative For Cybersecurity Education (nice) Framework (2. 0) (Security, Audit and Leadership Series)

by Dan Shoemaker Anne Kohnke Ken Sigler

A Guide to the National Initiative for Cybersecurity Education (NICE) Cybersecurity Workforce Framework (2.0) presents a comprehensive discussion of the tasks, knowledge, skill, and ability (KSA) requirements of the NICE Cybersecurity Workforce Framework 2.0. It discusses in detail the relationship between the NICE framework and the NIST’s cybersecurity framework (CSF), showing how the NICE model specifies what the particular specialty areas of the workforce should be doing in order to ensure that the CSF’s identification, protection, defense, response, or recovery functions are being carried out properly. The authors construct a detailed picture of the proper organization and conduct of a strategic infrastructure security operation, describing how these two frameworks provide an explicit definition of the field of cybersecurity. The book is unique in that it is based on well-accepted standard recommendations rather than presumed expertise. It is the first book to align with and explain the requirements of a national-level initiative to standardize the study of information security. Moreover, it contains knowledge elements that represent the first fully validated and authoritative body of knowledge (BOK) in cybersecurity. The book is divided into two parts: The first part is comprised of three chapters that give you a comprehensive understanding of the structure and intent of the NICE model, its various elements, and their detailed contents. The second part contains seven chapters that introduce you to each knowledge area individually. Together, these parts help you build a comprehensive understanding of how to organize and execute a cybersecurity workforce definition using standard best practice.

Guide to the Successful Thesis and Dissertation: A Handbook For Students And Faculty, Fifth Edition

by Namgi Park James Mauch

Augmented with a new bibliography and streamlined appendices, the Guide to the Successful Thesis and Dissertation, Fifth Edition views the valuable addition of references to university research libraries and advanced information on websites, online searches, electronic literature, and other modern computer methods as crucial for the successful completion of any T/D. This popular text guide features new references and computer-oriented resources for every stage in the creation of honors and master's theses and dissertations and refers to current T/D statistics, federal regulations, ethical codes, and copyright issues and legalities involved in information gathering and study conduct.

Guide to Three Dimensional Structure and Motion Factorization

by Guanghui Wang Jonathan Wu

The problem of structure and motion recovery from image sequences is an important theme in computer vision. Considerable progress has been made in this field during the past two decades, resulting in successful applications in robot navigation, augmented reality, industrial inspection, medical image analysis, and digital entertainment, among other areas. However, many of these methods work only for rigid objects and static scenes. The study of non-rigid structure from motion is not only of academic significance, but also has important practical applications in real-world, nonrigid or dynamic scenarios, such as human facial expressions and moving vehicles. This practical guide/reference provides a comprehensive overview of Euclidean structure and motion recovery, with a specific focus on factorization-based algorithms. The book discusses the latest research in this field, including the extension of the factorization algorithm to recover the structure of non-rigid objects, and presents some new algorithms developed by the authors. Readers require no significant knowledge of computer vision, although some background on projective geometry and matrix computation would be beneficial. Topics and features: presents the first systematic study of structure and motion recovery of both rigid and non-rigid objects from images sequences; discusses in depth the theory, techniques, and applications of rigid and non-rigid factorization methods in three dimensional computer vision; examines numerous factorization algorithms, covering affine, perspective and quasi-perspective projection models; provides appendices describing the mathematical principles behind projective geometry, matrix decomposition, least squares, and nonlinear estimation techniques; includes chapter-ending review questions, and a glossary of terms used in the book. This unique text offers practical guidance in real applications and implementations of 3D modeling systems for practitioners in computer vision and pattern recognition, as well as serving as an invaluable source of new algorithms and methodologies for structure and motion recovery for graduate students and researchers.

Guide to Unconventional Computing for Music

by Eduardo Reck Miranda

This pioneering text/reference explores how innovative new modes of computation may provide exciting new directions for future developments in the music industry, guiding the reader through the latest research in this emerging, interdisciplinary field. This work includes coverage of electronic music compositions and performances that incorporate unconventional interfacing, hacking and circuit bending. Features: presents an introduction to unconventional computing in music; discusses initiatives involving biophysical electronic music, the work of self-styled silicon luthiers, and the intersection of music and quantum computing; introduces the memristor, a new electronic component with the potential to revolutionize how computers are built; reviews experiments and practical applications of biological memristors in music; describes IMUSIC, an unconventional tone-based programming language, which enables the programming of computers using musical phrases; includes review questions at the end of each chapter.

Guide to UNIX Using Linux, Fourth Edition

by Michael Palmer

Guide to UNIX Using Linux, Fourth Edition is updated to include new UNIX/Linux dis­tributions, networking utilities, new UNIX/Linux capabilities, and coverage of both the GNOME and KDE desktops. The large array of commands, utilities, file systems, and other information you learn here applies to any Linux system and most UNIX systems. Within the book four modern Linux operating systems are spotlighted as examples: Fedora, Red Hat Enterprise Linux, SUSE, and Knoppix.

A Guide to Using the Anonymous Web in Libraries and Information Organizations: Enhancing Patron Privacy and Information Access (Routledge Guides to Practice in Libraries, Archives and Information Science)

by Brady D. Lund Matthew A. Beckstrom

A Guide to Using the Anonymous Web in Libraries and Information Organizations provides practical guidance to those who are interested in integrating the anonymous web into their services. It will be particularly useful to those seeking to promote enhanced privacy for their patrons. The book begins by explaining, in simple terms, what the anonymous web is, how it works, and its benefits for users. Lund and Beckstrom also explain why they believe access to the anonymous web should be provided in library and information organizations around the world. They describe how to provide access, as well as educate library users on how to utilize the anonymous web and navigate any challenges that might arise during implementation. The authors also encourage the development of library policies that guide appropriate conduct and filter content, where appropriate, in order to deter illegal activity. A Guide to Using the Anonymous Web in Libraries and Information Organizations reminds us that libraries and other information providers have a duty to educate and support their communities, while also preserving privacy. Demonstrating that the anonymous web can help them to fulfil these obligations, this book will be essential reading for library and information professionals working around the world.

A Guide to UX Design and Development: Developer’s Journey Through the UX Process (Design Thinking)

by Tom Green Joseph Labrecque

Gain a thorough understanding of the two pillars of any User Experience project: the mission and the process. The mission is to keep the user in mind at each step or milestone as the developer progresses through the project. The process is how that mission is accomplished through collaboration and the use of research, design and development technologies. This book walks you through a developer's journey through the UX process, from start to finish. A Guide to UX Design and Development concentrates on the intersection of what is called “DesignOps” and “DevOps.” That intersection is where collaboration between all members of the team, including stakeholders and clients, occurs and neither DesignOps nor DevOps can go beyond being considered just buzzwords if they instead silo design and development. To highlight the UX Mission and illustrate the responsibility developers also hold for the user experience, authors Tom Green and Joseph Labrecque take you through a hypothetical project involving the development of a parking app for a municipal parking authority. As the book progresses, they concentrate on the developer's journey through the whole project from discovery to product release. In this journey, you will see how developers can make an impact and contribute to the user experience. This will include such topics as why there is a need for both a user journey map and a technical journey map. The authors explain why prototyping is not as complicated as it is made out to be because it is simply an early low-cost and disposable minimal viable product that gives the developer a deep understanding of the project's intent in support of the UX Mission. You will also explore the creation and use of design systems and why the developer's role is just as important as the people who create the design system. The role and responsibility of the developer in user testing is discussed in the context of a variety of testing and assessment methods conducted to achieve the UX mission. Finally, you’ll gain an understanding of how design and development deliverables are negotiated, prepared and sent out for research at each step of the process, and how the developer is involved. What You Will Learn Understand the evolving role of the developer in a team-based environmentLearn the five stages of the UX process Discover the importance of collaboration and communication with stakeholders, designers, and developers at every stage of the processLearn a variety of design and development documents created during the UX process Who This Book Is For Developers and designers involved in the UX Process, as well as developers trying to make sense of the confusing amount of information out there regarding their role in the UX process.

A Guide to Video Game Movies

by Christopher Carton

Have you ever wondered if that game you love was made into a movie? Flip this book open and find out! Explore the fascinating journey of your favorite video games as they make their way to the silver screen! This comprehensive guide contains information on over forty big-screen adaptations of popular video games, including the histories of the series that inspired them. Covering four decades of movies, readers can learn about some of the most infamous movies in video game history, with genres such as horror, martial arts, comedy and children’s animation ensuring there’s plenty of trivia and analysis to keep gamers hooked. With nearly two-hundred full color stills, posters and screenshots, the book is a go-to guide to discovering facts about some of the biggest box office hits and the most disappointing critical bombs in history. From bizarre science fiction like Super Mario Bros. to the latest big budget releases like Monster Hunter, and dozens in between, A Guide to Video Game Movies should please film buffs and die-hard game fans alike. Whether you’re looking for rousing blockbuster action, family-friendly entertainment or a late-night B-movie to laugh at with your friends, you’re bound to find a movie to fit your taste. Put down your controller and grab your popcorn!

Guide to Voice and Video over IP

by Lingfen Sun Emmanuel Jammeh Is-Haka Mkwawa Emmanuel Ifeachor

This book presents a review of the latest advances in speech and video compression, computer networking protocols, the assessment and monitoring of VoIP quality, and next generation network architectures for multimedia services. The book also concludes with three case studies, each presenting easy-to-follow step-by-step instructions together with challenging hands-on exercises. Features: provides illustrative worked examples and end-of-chapter problems; examines speech and video compression techniques, together with speech and video compression standards; describes the media transport protocols RTP and RTCP, as well as the VoIP signalling protocols SIP and SDP; discusses the concepts of VoIP quality of service and quality of experience; reviews next-generation networks based on the IP multimedia subsystem and mobile VoIP; presents case studies on building a VoIP system based on Asterisk, setting up a mobile VoIP system based on Open IMS and Android mobile, and analysing VoIP protocols and quality.

A Guide to Web Development Using Adobe® Dreamweaver® CS5, with Fireworks® CS5 and Flash® CS5

by Jan Marrelli

A Guide to Web Development Using AdobeA(R) Dreamweaver CS5 teaches Flash Fireworks and Dreamweaver in a full-color format. Students learn about Web development HTML CSS and how to use Dreamweaver to create websites. Each chapter discusses concepts which are then reinforced within hands-on activiesAll explanations problems and answers have been produced using Dreamweaver CS5 Fireworks CS5 and Flash CS5. Students are introduced to the history terminology and concepts of networks and the Internet. Email protocol and careers associated with web development are also discussed.

Guide to Web Development with Java: Understanding Website Creation (Texts in Computer Science)

by Tim Downey

This comprehensive Guide to Web Development with Java introduces the readers to the three-tiered, Model-View-Controller architecture by using Spring JPA, JSPs, and Spring MVC controllers. These three technologies use Java, so that a student with a background in programming will be able to master them with ease, with the end result of being able to create web applications that use MVC, validate user input,and save data to a database.Topics and features:• Presents web development topics in an accessible, easy-to-follow style, focusing on core information first, and allowing the reader to gain basic understanding before moving forwards• Contains many helpful pedagogical tools for students and lecturers, such as questions and exercises at the end of each chapter, detailed illustrations, chapter summaries, and a glossary• Uses existing powerful technologies that are freely available on the web to speed up web development, such as Spring Boot, Spring MVC, Spring JPA, Hibernate, JSP, JSTL, and Java 1.8• Discusses HTML, HTML forms, and Cascading Style Sheets• Starts with the simplest technology for web development (JSP) and gradually introduces the reader to more complex topics• Introduces core technologies from the outset, such as the Model-View-Controller architecture• Includes examples for accessing common web services• Provides supplementary examples and tutorials

Guide to Web Development with Java

by Tim Downey

This comprehensive textbook introduces readers to the three-tiered, Model-View-Controller (MVC) architecture by using Hibernate, JSPs, and Java Servlets. These three technologies all use Java, so that a student with a background in programming will be able to master them with ease, with the end result of being able to create web applications that use MVC, validate user input and save data to a database. Features: presents the many topics of web development in small steps, in an accessible, easy-to-follow style; uses powerful technologies that are freely available on the web to speed up web development, such as JSP, JavaBeans, annotations, JSTL, Java 1.5, Hibernate and Tomcat; discusses HTML, HTML Forms, Cascading Style Sheets and XML; introduces core technologies from the outset, such as the MVC architecture; contains questions and exercises at the end of each chapter, detailed illustrations, chapter summaries, and a glossary; includes examples for accessing common web services.

Guide to Wireless Ad Hoc Networks

by Isaac Woungang Subhas Chandra Misra Sudip Misra

Wireless communication technologies have been undergoing rapid advancements, however there are several challenges that still need to be addressed. This book provides a comprehensive guide on the new ideas and results in the areas of mobile ad hoc networks, sensor networks and other ad hoc and ubiquitous computing systems, all in the wireless communication technology field. Wireless ad hoc networks and ubiquitous computing are explored by leading experts in the field from both academia and industry, with various challenges in diverse environments, standards, routing mechanisms, etc. This comprehensive book features in-depth descriptions of terminologies and concepts related to the diverse subject areas in wireless communication. This wide-ranging text will be a valuable reference for researchers, students, instructors, engineers, and strategists seeking the state of the art in the field.

Guide to Wireless Sensor Networks

by Isaac Woungang Subhas Chandra Misra Sudip Misra

Wireless communication technologies continue to undergo rapid advancement. In recent years, there has been a steep growth in research in the area of wireless sensor networks (WSNs). In WSNs, communication takes place with the help of spatially distributed, autonomous sensor nodes equipped to sense specific information. WSNs can be found in a variety of both military and civilian applications worldwide. Examples include detecting enemy intrusion on the battlefield, object tracking, habitat monitoring, patient monitoring and fire detection. Sensor networks are emerging as an attractive technology with great promise for the future. However, challenges remain to be addressed in issues relating to coverage and deployment, scalability, quality-of-service, size, computational power, energy efficiency and security. This highly useful guide presents a comprehensive account of the fundamental concepts, new ideas and results in the field of WSNs.

Guide to Writing Empirical Papers, Theses, and Dissertations

by G. David Garson

"Describes the quantitative research process--framing analytical questions, developing a comprehensive outline, providing a roadmap for the reader, and accessing indispensable computer and program tools. Supplies end-of-chapter checklists, extensive examples, and biobliographies."

Guided Flight Discovery: Instrument/Commercial Textbook

by Jeppesen Sanderson

Jeppesen's Guided Flight Discovery Instrument/Commercial textbook provides the most complete explanations of aeronautical concepts for pilots pursuing a instrument rating or commercial certificate. This colorful textbook is your primary source for initial study and review. It includes the Principles of Instrument Flight, The Flight Environment, Instrument Charts and Procedures, Aviation Weather and IFR Flight Operations and Commercial Pilot Operations, as well as an introductory look at Building Professional Experience. The most comprehensive and visually appealing Instrument/Commercial textbook ever! The Instrument/Commercial textbook is your primary source for initial study and review to achieve an instrument rating or commercial pilot certificate. The intuitive organization and colorful presentation of the manual will help you learn quickly from the start. The text contains complete and concise explanations of the advanced concepts and ideas that every instrument and commercial pilot needs to know with the subjects arranged in a logical manner to build upon previously introduced topics. You can expand your knowledge of specific subjects and the world of aviation by exploring the Discovery Insets, which are strategically placed throughout the chapters. To help you understand how your mind and body function while you fly, human factors principles are presented in Human Element Insets. Throughout the manual, concepts that directly relate to FAA test questions are described in FAA Question Insets. To help you effectively review material, key terms are highlighted throughout the text and listed at the end of each section along with a checklist, which summarizes important concepts. Additionally, you can evaluate your understanding of material by completing the associated questions at the end of each section. Jeppesen Part Number JS314520

Guided Randomness in Optimization, Volume 1

by Maurice Clerc

The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc. ) and other more sophisticated. Source-codes used for the examples are also presented, this allows a reflection on the "superfluous chance," succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.

A Guided Tour of Artificial Intelligence Research: Volume III: Interfaces and Applications of Artificial Intelligence

by Pierre Marquis Odile Papini Henri Prade

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This third volume is dedicated to the interfaces of AI with various fields, with which strong links exist either at the methodological or at the applicative levels. The foreword of this volume reminds us that AI was born for a large part from cybernetics. Chapters are devoted to disciplines that are historically sisters of AI: natural language processing, pattern recognition and computer vision, and robotics. Also close and complementary to AI due to their direct links with information are databases, the semantic web, information retrieval and human-computer interaction. All these disciplines are privileged places for applications of AI methods. This is also the case for bioinformatics, biological modeling and computational neurosciences. The developments of AI have also led to a dialogue with theoretical computer science in particular regarding computability and complexity. Besides, AI research and findings have renewed philosophical and epistemological questions, while their cognitive validity raises questions to psychology. The volume also discusses some of the interactions between science and artistic creation in literature and in music. Lastly, an epilogue concludes the three volumes of this Guided Tour of AI Research by providing an overview of what has been achieved by AI, emphasizing AI as a science, and not just as an innovative technology, and trying to dispel some misunderstandings.

A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, Reasoning and Learning

by Pierre Marquis Odile Papini Henri Prade

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). Implementing reasoning or decision making processes requires an appropriate representation of the pieces of information to be exploited. This first volume starts with a historical chapter sketching the slow emergence of building blocks of AI along centuries. Then the volume provides an organized overview of different logical, numerical, or graphical representation formalisms able to handle incomplete information, rules having exceptions, probabilistic and possibilistic uncertainty (and beyond), as well as taxonomies, time, space, preferences, norms, causality, and even trust and emotions among agents. Different types of reasoning, beyond classical deduction, are surveyed including nonmonotonic reasoning, belief revision, updating, information fusion, reasoning based on similarity (case-based, interpolative, or analogical), as well as reasoning about actions, reasoning about ontologies (description logics), argumentation, and negotiation or persuasion between agents. Three chapters deal with decision making, be it multiple criteria, collective, or under uncertainty. Two chapters cover statistical computational learning and reinforcement learning (other machine learning topics are covered in Volume 2). Chapters on diagnosis and supervision, validation and explanation, and knowledge base acquisition complete the volume.

A Guided Tour of Artificial Intelligence Research: Volume II: AI Algorithms

by Pierre Marquis Odile Papini Henri Prade

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This second volume presents the main families of algorithms developed or used in AI to learn, to infer, to decide. Generic approaches to problem solving are presented: ordered heuristic search, as well as metaheuristics are considered. Algorithms for processing logic-based representations of various types (first-order formulae, propositional formulae, logic programs, etc.) and graphical models of various types (standard constraint networks, valued ones, Bayes nets, Markov random fields, etc.) are presented. The volume also focuses on algorithms which have been developed to simulate specific ‘intelligent” processes such as planning, playing, learning, and extracting knowledge from data. Finally, an afterword draws a parallel between algorithmic problems in operation research and in AI.

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