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  1. Proceedings of the first ACM symposium on Symbolic and algebraic manipulation (SYMSAC '66)
  2. Application of LISP to sequence prediction
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Application of LISP to sequence prediction
A computer system for algebra and analytic differentiation
Format-directed list processing in LISP
History, features, and commentary on FORMAC
A language and system for symbolic algebra on a digital computer
PANON-1B: A programming language for symbol manipulation
A syntax-directed approach to automated aids for symbolic mathematics
A FORMAC program for the solution of linear boundary and initial value problems
The symbolic manipulation of poisson series
Grad Assistant - a program for symbolic algebraic manipulation and Differentiation
Institute of computer science: ALGEM -an algebraic manipulator
Programming languages, logic and cooperative games
An on line program for non-numerical algebra
An algebraic manipulator using SLIP
Models for mathematical systems
Operators for manipulating language structures

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Application of LISP to sequence prediction

Content Provider ACM Digital Library
Author Abrahams, Paul W.
Abstract This paper describes a LISP program that analyzes sequences of letters and numbers. The program, which operates interactively, takes as input a sequence such as ACEGI. It produces as output the next element of the sequence, in this case K, together with a LISP program that predicts the n'th element of the sequence. The program is organized into an executive and a set of workers. The executive calls upon each worker in turn. The worker will respond if it recognizes the sequence as the kind that it knows about; since the workers may themselves call upon the executive, the recognition process is recursive. Workers exist for cyclic sequences, linear sequences, letter sequences, polynomials, interwining of sequences, sequences with predictable first differences, sequences with predictable first ratios, and standard sequences such as the primes, the squares, and the cubes. New workers can be added easily. It is concluded that the program can operate efficiently if somewhat slowly on a significantly large collection of sequences, and that the organizational scheme used has application to other kinds of pattern recognition.
Starting Page 0101
Ending Page 0122
Page Count 22
File Format PDF
DOI 10.1145/800005.807960
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 1966-01-01
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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