The Reasoned Schemer, second edition

by Friedman, Daniel P.; Byrd, William E.; Kiselyov, Oleg; Hemann, Jason; Bibby, Duane

• ISBN13: 9780262535519
• ISBN10: 0262535513
• Edition: 2nd
• Format: Paperback
• Copyright: 2018-03-09
• Publisher: The MIT Press

Summary

A new edition of a book, written in a humorous question-and-answer style, that shows how to implement  and use an elegant little programming language for logic programming.

The goal of this book is to show the beauty and elegance of relational programming, which captures the essence of logic programming.  The book shows how to implement a relational programming language in Scheme, or in any other functional language, and demonstrates the remarkable flexibility of the resulting relational programs. As in the first edition, the pedagogical method is a series of questions and answers, which proceed with the characteristic humor that marked The Little Schemer and The Seasoned Schemer. Familiarity with a functional language or with the first five chapters of The Little Schemer is assumed. 

For this second edition, the authors have greatly simplified the programming language used in the book, as well as the implementation of the language. In addition to revising the text extensively, and simplifying and revising the “Laws” and “Commandments,” they have added explicit “Translation” rules to ease translation of Scheme functions into relations.

Author Biography

Daniel P. Friedman is Professor of Computer Science in the School of Informatics, Computing, and Engineering at Indiana University and is the author of many books published by the MIT Press, including The Little Schemer and The Seasoned Schemer (with Matthias Felleisen); The Little Prover (with Carl Eastlund); and The Reasoned Schemer (with William E. Byrd, Oleg Kiselyov, and Jason Hemann).

William E. Byrd is a scientist in the Department of Computer Science at the University of Alabama at Birmingham.

Oleg Kiselyov is Assistant Professor in the Graduate School of Information Sciences at Tohoku University, Japan.

Jason Hemann is a PhD candidate in the School of Informatics, Computing, and Engineering at Indiana University.

Gerald Jay Sussman is Panasonic Professor of Electrical Engineering at MIT.