摘要: The programming language LISP is frequently the of choice for implementation artificial intelligence (AI) systems, even though it has earned a reputation being slow. This lack speed usually due to fact that commonly available implementations are interpretive in nature rather than compile and go. And we all know interpreting source code invariably slower simply executing compiled object code.
acm.org
sci-hub.se 参考文章(29)
N. Sharkey, A. Narayanan, An introduction to LISP ,(1985)
K. Brown, Syntax of Programming Languages Roland C. Backhouse Prentice-Hall International £12.95 Microelectronics Journal. ,vol. 11, ,(1980) , 10.1016/S0026-2692(80)80215-1
Henry F. Ledgard, Michael Marcotty, Programming Language Landscape: Syntax, Semantics, and Implementation ,(1986)
Jürgen Eickel, Friedrich L. Bauer, Compiler Construction, An Advanced Course, 2nd ed. ,(1976)
Laurent Siklóssy, laurent-siklossy, Let's talk LISP ,(1976)
Ravi Sethi, Jeffrey D. Ullman, Alfred V. Aho, Compilers: Principles, Techniques, and Tools ,(1986)
P. G. Sorenson, Jean-Paul Tremblay, An Implementation Guide to Compiler Writing ,(1982)
Michael A. Harrison, Introduction to formal language theory ,(1978)
Daniel J. Rosenkrantz, Richard E. Stearns, nd Philip M. Lewis, Compiler Design Theory Addison-Wesley Longman Publishing Co., Inc.. ,(1976)
John D. Couch, William A. Barrett, Compiler Construction: Theory and Practice ,(1979)