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This text was published in 1992 as the Common Lisp standard was becoming widely adopted. Norvig introduces Lisp programming in the context of classic AI programs, including General Problem Solver (GPS) from 1959, ELIZA: Dialog with a Machine, from 1966, and STUDENT: Solving Algebra Word Problems, from 1964.
Lisp originally had very few control structures, but many more were added during the language's evolution. (Lisp's original conditional operator, cond, is the precursor to later if-then-else structures.) Programmers in the Scheme dialect often express loops using tail recursion. Scheme's commonality in academic computer science has led some ...
The key AI programming language in the US during the last symbolic AI boom period was LISP. LISP is the second oldest programming language after FORTRAN and was created in 1958 by John McCarthy. LISP provided the first read-eval-print loop to support rapid program development. Compiled functions could be freely mixed with interpreted functions.
Vital LISP was a superset of the existing AutoLISP language that added VBA-like access to the AutoCAD object model, reactors (event handling for AutoCAD objects), general ActiveX support, and some other general Lisp functions. Autodesk purchased this, renamed it Visual LISP, and briefly sold it as an add-on to AutoCAD release 14 released in May ...
Knowledge Engineering Environment (KEE) is a frame-based development tool for expert systems. [1] It was developed and sold by IntelliCorp, and was first released in 1983.It ran on Lisp machines, and was later ported to Lucid Common Lisp with the CLX library, an X Window System (X11) interface for Common Lisp.
GNU Common Lisp (GCL) is the GNU Project's ANSI Common Lisp compiler, an evolutionary development of Kyoto Common Lisp. It produces native object code by first generating C code and then calling a C compiler. GCL is the implementation of choice for several large projects including the mathematical tools Maxima, AXIOM, HOL88, and ACL2.
The Symbolics Lisp Machines were also sold to some non-AI markets like computer graphics, modeling, and animation. The MIT-derived Lisp machines ran a Lisp dialect named Lisp Machine Lisp, descended from MIT's Maclisp. The operating systems were written from the ground up in Lisp, often using object-oriented extensions.
Lisa is a production-rule system implemented in the Common Lisp Object System (CLOS), and is heavily influenced by CLIPS and the Java Expert System Shell (JESS). At its core is a reasoning engine based on an object-oriented implementation of the Rete algorithm , a very efficient mechanism for solving the difficult many-to-many matching problem.
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