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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

BooksJournals

  • History of Computing in the Twentieth Century

    • 1st Edition
    • Nicholas Metropolis
    • English
    A History of Computing in the Twentieth Century focuses on the advancements in the processes, methodologies, programs, and techniques in computing. The selection first elaborates on computing developments in Cambridge, U.S.A., pioneering work on computers at Bletchley, and the COLOSSUS. Discussions focus on secrecy and priority, the first COLOSSUS, MARK II COLOSSUS, postwar developments in computing, and the HEATH ROBINSON project. The text then ponders on Turing's work at the National Physical Laboratory and the construction of Pilot ACE, DEUCE, and ACE, the Smithsonian Computer History Project, and programming in America. Topics include origins of FORTRAN, optimization techniques in FORTRAN, DEUCE computer, and the Pilot ACE. The book takes a look at the development of programming in the USSR, advancement of programming languages, and reflections on the evolution of algorithmic language. The book also examines the computer development at Manchester University, the sieve process, MANIAC project, and the ENIAC project. The selection is a valuable reference for computer science experts and researchers interested in the development of computing.

  • Principles of Artificial Intelligence

    • 1st Edition
    • Nils J. Nilsson
    • English
    A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

  • Representation and Understanding

    Studies in Cognitive Science
    • 1st Edition
    • Jerry Bobrow
    • English
    Language, Thought, and Culture: Advances in the Study of Cognition: Representation and Understanding: Studies in Cognitive Science focuses on the principles, processes, and methodologies involved in artificial intelligence. The selection first offers information on the dimensions of representation, foundations for semantic networks, and reflections on the formal description of behavior. Discussions focus on relativity of behavioral description, hierarchical organization of processes, problems in knowledge representation, and inference, access, and self-awareness. The text then takes a look at the synthesis, analysis, and contingent knowledge in specialized understanding systems, some principles of memory schemata, and representing knowledge for recognition. The book examines frame representations and declarative/procedur... controversy, schema for stories, and structure of episodes in memory. Topics include long-term memory, conceptual dependency, understanding paragraphs, simple story grammar, and first attempt at synthesis. The publication then ponders on concepts for representing mundane reality in plans and multiple representations of knowledge for tutorial reasoning. The selection is highly recommended for researchers interested in exploring artificial intelligence.

  • Artificial Neural Networks

    • 1st Edition
    • K. Mäkisara + 3 more
    • English
    This two-volume proceedings compiles a selection of research papers presented at the ICANN-91. The scope of the volumes is interdisciplinary, ranging from mathematics and engineering to cognitive sciences and biology. European research is well represented. Volume 1 contains all the orally presented papers, including both invited talks and submitted papers. Volume 2 contains the plenary talks and the poster presentations.

  • Machine Learning

    An Artificial Intelligence Approach, Volume III
    • 1st Edition
    • Yves Kodratoff + 1 more
    • English
    Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning can be applied to various specific problems. Part Four describes efforts to integrate different learning strategies. These include the UNIMEM system, which empirically discovers similarities among examples; and the DISCIPLE multistrategy system, which is capable of learning with imperfect background knowledge. Part Five provides an overview of research in the area of subsymbolic learning methods. Part Six presents two types of formal approaches to machine learning. The first is an improvement over Mitchell's version space method; the second technique deals with the learning problem faced by a robot in an unfamiliar, deterministic, finite-state environment.

  • Case-Based Reasoning

    • 1st Edition
    • Janet Kolodner
    • English
    Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As new problems arise, similar situations are searched out to help solve these problems. Problems are understood and inferences are made by finding the closest cases in memory, comparing and contrasting the problem with those cases, making inferences based on those comparisons, and asking questions when inferences can't be made.This book presents the state of the art in case-based reasoning. The author synthesizes and analyzes a broad range of approaches, with special emphasis on applying case-based reasoning to complex real-world problem-solving tasks such as medical diagnosis, design, conflict resolution, and planning. The author's approach combines cognitive science and engineering, and is based on analysis of both expert and common-sense tasks. Guidelines for building case-based expert systems are provided, such as how to represent knowledge in cases, how to index cases for accessibility, how to implement retrieval processes for efficiency, and how to adapt old solutions to fit new situations. This book is an excellent text for courses and tutorials on case-based reasoning. It is also a useful resource for computer professionals and cognitive scientists interested in learning more about this fast-growing field.

  • Using C-Kermit

    Communication Software for OS/2, Atari ST, UNIX, OS-9, VMS, AOS/VS, AMIGA
    • 1st Edition
    • Frank da Cruz + 1 more
    • English
    An introduction and tutorial as well as a comprehensive reference Using C-Kermit describes the new release, 5A, of Columbia University's popular C-Kermit communication software - the most portable of all communication software packages. Available at low cost on a variety of magnetic media from Columbia University,C-Kermit can be used on computers of all sizes - ranging from desktop workstations to minicomputers to mainframes and supercomputers. The numerous examples, illustrations, and tables in Using C-Kermit make the powerful and versatile C-Kermit functionsaccessible for new and experienced users alike.

  • Machine Learning Proceedings 1989

    • 1st Edition
    • Alberto Maria Segre
    • English
    Proceedings of the Sixth International Workshop on Machine Learning covers the papers presented at the Sixth International Workshop of Machine Learning, held at Cornell University, Ithaca, New York (USA) on June 26-27, 1989. The book focuses on the processes, methodologies, techniques, and approaches involved in machine learning. The selection first offers information on unifying themes in empirical and explanation-based learning; integrated learning of concepts with both explainable and conventional aspects; conceptual clustering of explanations; and tight integration of deductive and inductive learning. The text then examines multi-strategy learning in nonhomogeneous domain theories; description of preference criterion in constructive learning; and combining case-based reasoning, explanation-based learning, and learning from instruction. Discussions focus on causal explanation of actions, constructive learning, learning in a weak theory domain, learning problem, and individual criteria and their relationships. The book elaborates on learning from plausible explanations, augmenting domain theory for explanation-based generalization, reducing search and learning goal preferences, and using domain knowledge to improve inductive learning algorithms for diagnosis. The selection is a dependable reference for researchers interested in the dynamics of machine learning.

  • The Digital Guide To Software Development

    • 1st Edition
    • Christine Dickinson
    • English
    Here is the first published description of the processes and practices, tools, and methods this industry giant uses to develop its software products. This 'shirt-sleeves' guide is packed with diagrams and tables that illustrate each step in the complexsoftware development process. You'll learn all about Digital's standard 'phase review process,' the role of teams and their leaders, how CASE tools work, and how to control a project while improving productivity and product quality.

  • Personal Computer Local Networks Report

    • 1st Edition
    • Architecture Technology Architecture Technology Corpor
    • English
    Please note this is a Short Discount publication.Since the first microcomputer local networks of the late 1970's and early 80's, personal computer LANs have expanded in popularity, especially since the introduction of IBMs first PC in 1981. The late 1980s has seen a maturing in the industry with only a few vendors maintaining a large share of the market.This report is intended to give the reader a thorough understanding of the technology used to build these systems ... from cable to chips ... to ... protocols to servers. The report also fully defines PC LANs and the marketplace, with in–depth details on products, configurations, features, pricing, and service, plus lists of system components and features and vendor contact.

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