Skip to main content

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.

  • The Art of Programming Embedded Systems

    • 1st Edition
    • Jack Ganssle
    • English
    Embedded systems are products such as microwave ovens, cars, and toys that rely on an internal microprocessor. This book is oriented toward the design engineer or programmer who writes the computer code for such a system. There are a number of problems specific to the embedded systems designer, and this book addresses them and offers practical solutions.
  • Decentralized A.I., 2

    • 1st Edition
    • Y. Demazeau + 1 more
    • English
    The purpose of this proceedings is to stimulate exchange and discussion of research in the field of multi-agent systems. A multi-agent system consists of at least two agents that are engaged in some task that may require coordination, cooperation and/or competition. An autonomous agent has its own goals, capabilities and knowledge. The actions of an agent occur in the context of other agents that may have structures and strategies different from the agent's own. Multi-agent problems arise when several autonomous agents share a common environment. These problems may result from limited resources, shared or competing goals, etc. This MAAMAW workshop proceedings emphasizes multi-agent systems of all sorts from very simple to very complex agents and agent organizations.
  • Paradigms of Artificial Intelligence Programming

    Case Studies in Common Lisp
    • 1st Edition
    • Peter Norvig
    • English
    Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
  • Advances in Computers

    • 1st Edition
    • Volume 33
    • English
  • Nonlinear Equations in the Applied Sciences

    • 1st Edition
    • Volume 185
    • W. F. Ames
    • English
  • Advances in Computers

    • 1st Edition
    • Volume 32
    • English