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- Title Computer Science Logo Style
- Author(s) Brian Harvey
- Publisher: The MIT Press; second edition edition (February 14, 1997)
- Paperback Volume 1: 340 pages; Volume 2: 352 pages; Volume 3: 384 pages
- ebook HTML and PDF Files
- Language: English
- ISBN-10/ASIN: 0262581485
- ISBN-13: 978-0262581486
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This series is for people - adults and teenagers - who are interested in computer programming because it's fun. The three volumes use the Logo programming language as the vehicle for an exploration of computer science from the perspective of symbolic computation and artificial intelligence. Logo is a dialect of Lisp, a language used in the most advanced research projects in computer science, especially in artificial intelligence. Throughout the series, functional programming techniques (including higher order functions and recursion) are emphasized, but traditional sequential programming is also used when appropriate.
Volume 1 Symbolic Computing, is addressed to a reader who has used computers and wants to learn the ideas behind them. Symbolic computing is the manipulation of words and sentences, in contrast both to the graphics most people associate with Logo and to the numerical computation with which more traditional languages such as Pascal and C++ are most comfortable. This volume is well known for its clear and thorough presentation of recursion, a key idea in computer science that other texts treat as arcane and difficult. The Logo programs in these books and the author's free Berkeley Logo interpreter are available via the Internet or on diskette.
Volume 2 Advanced Techniques, is addressed to the reader with some experience with symbolic Logo programming. It combines additional tutorial chapters about advanced Logo features with case studies in which those techniques are used in programming projects. The projects range from games (a solitaire program) through utilities (finding the differences between two versions of a file) to a computer that translates BASIC programs into Logo.
Volume 3 Beyond Programming, the reader learns that computer science includes not just programming computers, but also more formal ways to think about computing, such as automata theory and discrete mathematics. In contrast to most books on those subjects, this volume presents the ideas in the form of concrete, usable computer programs rather than as abstract proofs. Examples include a program to translate from the declarative Regular Expression formalism into the executable Finite State Machine notation, and a Pascal compiler written in Logo.About the Authors
- Brian Harvey is Lecturer in Computer Science at the University of California at Berkeley. He has also taught programming to high school students and teachers since 1979. He is the lead developer of the Berkeley Logo interpreter.
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