- Table View
- List View
Firmware Development: A Guide to Specialized Systemic Knowledge
by Vincent Zimmer Subrata BanikBuild your own system firmware. This book helps you understand system firmware architecture and minimalistic design, and provides a specialized knowledge of firmware development. The book includes guidance on understanding the system firmware build procedure, integrating pieces of firmware and allowing configuration, updating system firmware, creating a development infrastructure for allowing multi-party collaboration in firmware development, and gaining advanced system firmware debugging knowledge.After reading the book you will be able to assume better control while developing your own firmware and know how to interact with native hardware while debugging. You will understand key principles for future firmware development using newer technology, and be ready for the introduction of modern safe programming languages for firmware development. Detailed system firmware development case studies using a futuristic approach cover:Future scalable system firmware development modelsTypes of firmware development (system firmware, device firmware, manageability firmware)Tools and their usage while creating system firmwareHow to build infrastructure for seamless firmware development using a multi-party development modelDebugging methodologies used during various phases of firmware product developmentSetting up key expectations for future firmware, including thinner firmware footprints and faster execution time, easier configuration, and increased transparent security What You Will LearnUnderstand the system firmware working model of the futureGain knowledge to say goodbye to proprietary firmware for different types of firmware developmentKnow the different types of tools required for creating firmware source code before flashing the final image into the boot device of the embedded systemDevelop skills to understand the failure in firmware or in the system and prepare the debugging environment to root cause the defectsDiscern the platform minimal security requirementOptimize the system firmware boot time based on the target hardware requirementComprehend the product development cycle using open source firmware development Who This Book Is For Embedded firmware and software engineers migrating the product development from closed source firmware to open source firmware for product adaptation needs as well as engineers working for open source firmware development. A secondary audience includes engineers working on various bootloaders such as open source firmware, UEFI, and Slim Bootloader development, as well as undergraduate and graduate students working on developing firmware skill sets.
A First Course in Aerial Robots and Drones (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Yasmina Bestaoui SebbaneA First Course in Aerial Robots and Drones provides an accessible and student friendly introduction to aerial robots and drones. Drones figure prominently as opportunities for students to learn various aspects of aerospace engineering and design. Drones offer an enticing entry point for STEM studies. As the use of drones in STEM studies grows, there is an emerging generation of drone pilots who are not just good at flying, but experts in specific niches, such as mapping or thermography. Key Features: Focuses on algorithms that are currently used to solve diverse problems. Enables students to solve problems and improve their science skills. Introduces difficult concepts with simple, accessible examples. Suitable for undergraduate students, this textbook provides students and other readers with methods for solving problems and improving their science skills.
First Course in Algorithms Through Puzzles
by Ryuhei UeharaThis textbook introduces basic algorithms and explains their analytical methods. All algorithms and methods introduced in this book are well known and frequently used in real programs. Intended to be self-contained, the contents start with the basic models, and no prerequisite knowledge is required. This book is appropriate for undergraduate students in computer science, mathematics, and engineering as a textbook, and is also appropriate for self-study by beginners who are interested in the fascinating field of algorithms. More than 40 exercises are distributed throughout the text, and their difficulty levels are indicated. Solutions and comments for all the exercises are provided in the last chapter. These detailed solutions will enable readers to follow the author’s steps to solve problems and to gain a better understanding of the contents. Although details of the proofs and the analyses of algorithms are also provided, the mathematical descriptions in this book are not beyond the range of high school mathematics. Some famous real puzzles are also used to describe the algorithms. These puzzles are quite suitable for explaining the basic techniques of algorithms, which show how to solve these puzzles.
A First Course in Control System Design
by Kamran IqbalControl systems are pervasive in our lives. Our homes have environmental controls. The appliances we use at home, such as the washing machine, microwave, etc. have embedded controllers. We fly in airplanes and drive automobiles, which make extensive use of control systems. The increasing automation in the past few decades has increased our reliance on control systems.A First Course in Control System Design discusses control systems design from a model-based perspective as applicable to single-input single-output systems. The emphasis in this book is on understanding and applying the techniques that enable the design of effective control systems. The book covers the time-domain and the frequency-domain design methods, as well as the design of continuous-time and discrete-time systems.Technical topics discussed in the book include: Modeling of physical systems Analysis of transfer function and state variable models Control system design via root locus Control system design in the state-space Control design of sampled-data systems Compensator design via frequency response modification
A First Course in Electrical and Computer Engineering
by Louis ScharfElectrical and computer engineering textbook
A First Course in Engineering Drawing
by K. RathnamThe primary objective of this book is to provide an easy approach to the basic principles of Engineering Drawing, which is one of the core subjects for undergraduate students in all branches of engineering. Further, it offers comprehensive coverage of topics required for a first course in this subject, based on the author's years of experience in teaching this subject. Emphasis is placed on the precise and logical presentation of the concepts and principles that are essential to understanding the subject. The methods presented help students to grasp the fundamentals more easily. In addition, the book highlights essential problem-solving strategies and features both solved examples and multiple-choice questions to test their comprehension.
A First Course in Fuzzy Logic (Textbooks in Mathematics)
by Hung T. Nguyen Carol L. Walker Elbert A. Walker<p>A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to the theory and applications of fuzzy logic. <p>This popular text offers a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications. <p>New in the Fourth Edition: <p> <li>Features new results on fuzzy sets of type-2 <li>Provides more information on copulas for modeling dependence structures <li>Includes quantum probability for uncertainty modeling in social sciences, especially in economics</li> <p>With its comprehensive updates, this new edition presents all the background necessary for students, instructors and professionals to begin using fuzzy logic in its many—applications in computer science, mathematics, statistics, and engineering. </p>
A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics: Theory and Applications (Studies in Fuzziness and Soft Computing #432)
by Rodney Carlos Bassanezi Weldon A. Lodwick Laécio Carvalho de BarrosThis book provides an essential introduction to the field of dynamical models. Starting from classical theories such as set theory and probability, it allows readers to draw near to the fuzzy case. On one hand, the book equips readers with a fundamental understanding of the theoretical underpinnings of fuzzy sets and fuzzy dynamical systems. On the other, it presents some concepts of derivatives, integrals and differential equations applied to the context of fuzzy functions. Each of the major topics is accompanied by examples, worked-out exercises, and exercises to be completed. Moreover, many applications to real problems are presented, mainly in biomathematics where the so-called p-fuzzy systems play an important role. The book has been developed on the basis of the authors’ lectures to university students and is accordingly primarily intended as a textbook for both upper-level undergraduates and graduates in applied mathematics, statistics, and engineering. It also offers a valuable resource for practitioners such as mathematical consultants and modelers, and for researchers alike, as it may provide both groups with new ideas and inspirations for projects in the fields of fuzzy logic and biomathematics. This thoroughly updated second edition includes a new chapter on fuzzy optimization, which also presents an application in carbon markets analysis and modeling
A First Course in Machine Learning
by Mark GirolamiA First Course in Machine Learning covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The algorithms presented span the main problem areas within machine learning: classification, clustering and projection. The text gives detailed descriptions and derivations for a smal
A First Course in Machine Learning
by Simon Rogers Mark Girolami"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."—Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade."—Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts."—Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength…Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months."—David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." —Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning…The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective."—Guangzhi Qu, Oakland University, Rochester, Michigan, USA
A First Course in Scientific Computing: Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90
by Rubin LandauThis book offers a new approach to introductory scientific computing. It aims to make students comfortable using computers to do science, to provide them with the computational tools and knowledge they need throughout their college careers and into their professional careers, and to show how all the pieces can work together. Rubin Landau introduces the requisite mathematics and computer science in the course of realistic problems, from energy use to the building of skyscrapers to projectile motion with drag. He is attentive to how each discipline uses its own language to describe the same concepts and how computations are concrete instances of the abstract. Landau covers the basics of computation, numerical analysis, and programming from a computational science perspective. The first part of the printed book uses the problem-solving environment Maple as its context, with the same material covered on the accompanying CD as both Maple and Mathematica programs; the second part uses the compiled language Java, with equivalent materials in Fortran90 on the CD; and the final part presents an introduction to LaTeX replete with sample files. Providing the essentials of computing, with practical examples, A First Course in Scientific Computing adheres to the principle that science and engineering students learn computation best while sitting in front of a computer, book in hand, in trial-and-error mode. Not only is it an invaluable learning text and an essential reference for students of mathematics, engineering, physics, and other sciences, but it is also a consummate model for future textbooks in computational science and engineering courses. A broad spectrum of computing tools and examples that can be used throughout an academic career Practical computing aimed at solving realistic problems Both symbolic and numerical computations A multidisciplinary approach: science + math + computer science Maple and Java in the book itself; Mathematica, Fortran90, Maple and Java on the accompanying CD in an interactive workbook format
A First Course in Statistical Inference (Springer Undergraduate Mathematics Series)
by Jonathan GillardThis book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory.Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with key theorems stated and proved. Detailed worked examples are included and each chapter ends with a set of exercises, with full solutions given at the back of the book. Examples using R are provided throughout the book, with a brief guide to the software included. Topics covered in the book include: sampling distributions, properties of estimators, confidence intervals, hypothesis testing, ANOVA, and fitting a straight line to paired data.Based on the author’s extensive teaching experience, the material of the book has been honed by student feedback for over a decade. Assuming only some familiarity with elementary probability, this textbook has been devised for a one semester first course in statistics.
A First Course in Statistical Programming with R
by W. John Braun Duncan J. MurdochThis is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
A First Course in Systems Biology
by Eberhard VoitA First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means. New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes. The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection.
A First Course in Systems Biology
by null Eberhard Voit null Melissa L. KempA First Course in Systems Biology, Third Edition is an introduction to the growing field of systems biology for advanced undergraduates and graduate students. Its focus is the design and analysis of computational models and their applications to diverse biomedical phenomena, from simple networks and kinetics to complex pathway systems, signal transduction, personalized medicine, and interacting populations. The book begins with the fundamentals of computational modeling, then reviews features of the molecular inventories that bring biological systems to life and ends with case studies that reflect some of the frontiers in systems biology. In this way, the First Course provides the reader with a comprehensive background and with access to methods for executing standard tasks of biomedical systems analysis, exposure to the modern literature, and a foundation for launching into specialized projects that address biomedical questions with theoretical and computational means.This third edition has been thoroughly updated. It provides an introduction to agent-based and multiscale modeling, a deeper account of biological design principles, and the optimization of metabolic flux distributions. This edition also discusses novel topics of synthetic biology, personalized medicine, and virtual clinical trials that are just emerging on the horizon of this field.
The First Discriminant Theory of Linearly Separable Data: From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis
by Shuichi ShinmuraThis book deals with the first discriminant theory of linearly separable data (LSD), Theory3, based on the four ordinary LSD of Theory1 and 169 microarrays (LSD) of Theory2. Furthermore, you can quickly analyze the medical data with the misclassified patients which is the true purpose of diagnoses. Author developed RIP (Optimal-linear discriminant function finding the combinatorial optimal solution) as Theory1 in decades ago, that found the minimum misclassifications. RIP discriminated 63 (=26−1) models of Swiss banknote (200*6) and found the minimum LSD: basic gene set (BGS). In Theory2, RIP discriminated Shipp microarray (77*7129) which was LSD and had only 32 nonzero coefficients (first Small Matryoshka; SM1). Because RIP discriminated another 7,097 genes and found SM2, the author developed the Matryoshka feature selection Method 2 (Program 3), that splits microarray into many SMs. Program4 can split microarray into many BGSs. Then, the wide columnLSD (Revolution-0), such as microarray (n Theory3 shows the surprising results of six ordinary data re-analyzed by Theory1 and Theory2 knowledge. Essence of Theory3 is described by using cephalopelvic disproportion (CPD) data. RIP discriminates CPD data (240*19) and finds two misclassifications unique for cesarean and natural-born groups. CPD238 omitting two patients becomes LSD, which is the first case selection method. Program4 finds BGS (14 vars.) the only variable selection method for Theory3. 32 (=25) models, including BGS, become LSD among (219−1) models. Because Program2 confirms BGS has the minimum average error rate, BGS is the most compact and best model satisfying Occam’s Razor. With this book, physicians obtain complete diagnostic results for disease, and engineers can become a true data scientist, by obtaining integral knowledge ofstatistics and mathematical programming with simple programs.
The First Generation of Electronic Records Archivists in the United States: A Study in Professionalization
by Richard CoxThis book helps readers understand the current status of archivists in the United States. It addresses issues of professionalization by re-examining two major aspects of the archival community: institutional forms and structures, and the basic educational foundations that are important to any profession. While United States archivists now seem poised to develop new approaches to the management of electronic records, including research and education venues, this profession?s long journey to reach this point is an interesting step on the continuing road to professionalization. The First Generation of Electronic Records Archivists in the United States represents the first major study of how and why American archivists have struggled to contend with the management of electronic records. The book provides a framework for studying this issue, includes suggestions for additional research, and serves as a basis for discussion about the continued strengthening of the archival profession. Despite more than thirty years of striving to manage electronic records, American archivists have not developed an effective infrastructure for this purpose. The First Generation of Electronic Records Archivists in the United States considers the evidence for this failure by evaluating archival literature on the topic of electronic records management. It examines how position descriptions in state government archives and job advertisements across the discipline have reflected a bias toward paper-based formats, and the failure of graduate and continuing archival education programs to deal effectively with electronic records. The book details:state government archives and position descriptionstrends and practices in the Information Age, 1976--1990graduate archival education and electronic records: an analysis of current approaches and their strengths and weaknessesthe effectiveness of the NAGARA Institute as a form of advanced archival educationproblems, challenges, opportunities, and needs for additional researchThe First Generation of Electronic Records Archivists in the United States is an enlightening study for library and information science educators, archival graduate students, and archivists themselves as they work toward the professionalization of their field.
First International Conference on Artificial Intelligence and Cognitive Computing: Aicc 2018 (Advances In Intelligent Systems and Computing #815)
by Raju Surampudi Bapi Koppula Srinivas Rao Munaga V. PrasadThis book presents original research works by researchers, engineers and practitioners in the field of artificial intelligence and cognitive computing. The book is divided into two parts, the first of which focuses on artificial intelligence (AI), knowledge representation, planning, learning, scheduling, perception-reactive AI systems, evolutionary computing and other topics related to intelligent systems and computational intelligence. In turn, the second part focuses on cognitive computing, cognitive science and cognitive informatics. It also discusses applications of cognitive computing in medical informatics, structural health monitoring, computational intelligence, intelligent control systems, bio-informatics, smart manufacturing, smart grids, image/video processing, video analytics, medical image and signal processing, and knowledge engineering, as well as related applications.
First International Conference on Sustainable Technologies for Computational Intelligence: Proceedings of ICTSCI 2019 (Advances in Intelligent Systems and Computing #1045)
by Xiao-Zhi Gao Dharm Singh Ashish Kumar Luhach Janos Arpad Kosa Ramesh Chandra PooniaThis book gathers high-quality papers presented at the First International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2019), which was organized by Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India, on March 29–30, 2019. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.
A First Introduction to Quantum Computing and Information (Undergraduate Topics in Computer Science)
by Bernard ZygelmanThis textbook addresses and introduces new developments in the field of quantum information and computing (QIC) for a primary audience of undergraduate students. Developments over the past few decades have spurred the need for QIC courseware at major research institutions. To address this, the present 2nd edition of a highly accessible textbook/reference broadens the exposure of QIC science for the undergraduate market. The subject matter is introduced in such a way so that it is accessible to students with only a first-year calculus background. Greater accessibility allows a broader range of academic offerings. Topics and features: Introduces beginning undergraduate students to quantum theory and developments in QIC, without exposure to upper-level physics and mathematics Contains a new chapter on Adiabatic Quantum Computing Integrates Mathematica-based software examples and projects, which offers a “hands-on" experience and facilitates navigation of difficult abstract concepts Offers helpful links to additional exercises, problems, and solution manuals Facilitates a more holistic approach to the teaching of difficult concepts, incorporating symbolic manipulation software Provides new material on Quantum Error Correction Allows a broad-range of course offerings spanning physics, engineering, math and computer science This unique introductory textbook can serve courses offered in university physics, engineering, math, and definitely computer science departments. Use of Mathematica software allows a fast learning curve for students who have limited experience with scientific programming.
A First Introduction to the Finite Element Analysis Program MSC Marc/Mentat
by Andreas Öchsner Marco ÖchsnerThis book offers a brief introduction to the general-purpose finite element program MSC Marc, focusing on providing simple examples, often single-element problems, which can easily be related to the theory that is discussed in finite element lectures. As such, it is an ideal companion book to classical introductory courses on the finite element method. MSC Marc is a specialized program for non-linear problems (implicit solver), which is distributed by the MSC Software Corporation and commonly used in academia and industry. The documentation of all finite element programs now includes a variety of step-by-step examples of differing complexity, and all software companies offer professional workshops on different topics. Since the first edition of the book, there have been several new releases of Marc/Mentat and numerous changes. This new edition incorporates the latest Marc/Mentat software developments and new examples.
The First Line of Code: Android Programming with Kotlin
by Lin GuoThe First Line of Code is a must-have for developers who want to learn Android and Kotlin, and the best-seller in China. Knowledge between Android and Kotlin is interspersed in a way that readers are easy to understand and get start:· Android part covers all the important aspects of the Android platform, such as activity, service, content provider, broadcast receiver, fragment, basic UI, data storage, network, Jetpack and other application-level knowledge. · Kotlin part covers various aspects of Kotlin, such as standard grammar, common skills, higher-order functions, generics, coroutines, DSL and other language-level knowledge. In addition, The First Line of Code is a very practicing book, illustrating concepts with a complete weather forecast program. You can use and practice all the knowledge comprehensively after learning and see the actual result for what you have learned through the book. All contents of the book are quite easy to understand. It might be a good choice for both beginners and experienced developers. Also suitable for college students, college teachers, etc.
First Look: Microsoft® Office 2010
by Katherine MurrayWelcome to Office 2010. Whether you work primarily in the office or on the go, you'll find smart tools in this release that enable you to get your work done easier, faster, and more professionally than ever. This book will inspire you and give you a good sense of the exciting features in Office 2010. This book was written while the software was in development, so you may find some variance in screen illustrations and procedures. Part I, "Envision the Possibilities," introduces you to the changes in Office 2010 and shows you how you can make the most of the new features to fit the way you work today. Chapter 1, "Welcome to Office 2010," gives you a play-by-play introduction to new features; Chapter 2, "Express Yourself Effectively and Efficiently," details the great feature enhancements and visual effects throughout the applications; and Chapter 3, "Work Anywhere with Office 2010," explores the flexibility factor by presenting a set of scenarios that enable users to complete their work no matter where their path takes them. Part II, "Hit the Ground Running," focuses on each of the Office 2010 applications in turn, spotlighting the key new features and showing how they relate to the whole. These chapters provide a how-to guide for many of the top features you're likely to use right off the bat, and they offer inspiring ideas on how to get the most from your favorite applications. Part III, "Next Steps with Office 2010," zooms up to the big picture and provides examples to help you think through interoperability. How often do you use the various Office applications together? Customer research shows that people often don't realize how well the applications work together as a complete system--which means they might be laboring over items they could easily incorporate from somewhere else. This part of the book provides examples for integrating the applications and explores Office 2010 security and training opportunities, as well.
First-order and Stochastic Optimization Methods for Machine Learning (Springer Series in the Data Sciences)
by Guanghui LanThis book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning.
First Person: New Media as Story, Performance, and Game
by Noah Wardrip-Fruin Pat HarriganYet it is widely believed that the market for electronic literature- predicted by some to be the future of the written word- languishes. Even bestselling author Stephen King achieved disappointing results with his online publication of "Riding the Bullet" and "The Plant." Isn't it possible, though, that many hugely successful computer games- those that depend on or at least utilize storytelling conventions of narrative, character, and theme- can be seen as examples of electronic literature? And isn't it likely that the truly significant new forms of electronic literature will prove to be (like games) so deeply interactive and procedural that it would be impossible to present them as paper-like "e-books"? The editors of First Person have gathered a remarkably diverse group of new media theorists and practitioners to consider the relationship between "story" and "game," as well as the new kinds of artistic creation (literary, performative, playful) that have become possible in the digital environment. This landmark collection is organized as a series of discussions among creators and theorists; each section includes three presentations, with each presentation followed by two responses. Topics considered range from "Cyberdrama" to "Ludology" (the study of games), to "The Pixel/The Line" to "Beyond Chat." The conversational structure inspired contributors to revise, update, and expand their presentations as they prepared them for the book, and the panel discussions have overflowed into a First Person website (created in conjunction with the online journal Electronic Book Review).