The Logic Grammars Based Genetic Programming System

Man Leung WONG; Kwong Sak LEUNG

doi:10.5555/1595536.1595611

The Logic Grammars Based Genetic Programming System

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research

Abstract

Inductive Logic Programming (ILP) and Genetic Programming (GP) are two approaches in program induction. However, they are restricted in the computer languages in which programs can be induced. Generic Genetic Programming (GGP) is a novel, powerful, and general approach that combines ILP and GP. Using GGP, programs in various programming languages such as Lisp, Prolog, and Fuzzy Prolog can be evolved. The approach is also powerful enough to handle context-sensitive information and domain-dependent knowledge. In this paper, we describe the details of an implementation of GGP called LOGENPRO (The LOgic grammars based GENetic PROgramming system).

Original language	English
Title of host publication	Proceedings of the 1st annual conference on genetic programming
Editors	John R. KOZA
Publisher	MIT Press
Pages	433
ISBN (Print)	9780262611275
DOIs	https://doi.org/10.5555/1595536.1595611
Publication status	Published - Jul 1996
Externally published	Yes
Event	1st annual conference on genetic programming - Stanford University, California, United States Duration: 28 Jul 1996 → 31 Jul 1996 https://dl.acm.org/doi/proceedings/10.5555/1595536

Conference

Conference	1st annual conference on genetic programming
Country/Territory	United States
City	California
Period	28/07/96 → 31/07/96
Internet address	https://dl.acm.org/doi/proceedings/10.5555/1595536

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@inproceedings{93b9f26462a9490596b06ed7b4cf3b1c,

title = "The Logic Grammars Based Genetic Programming System",

abstract = "Inductive Logic Programming (ILP) and Genetic Programming (GP) are two approaches in program induction. However, they are restricted in the computer languages in which programs can be induced. Generic Genetic Programming (GGP) is a novel, powerful, and general approach that combines ILP and GP. Using GGP, programs in various programming languages such as Lisp, Prolog, and Fuzzy Prolog can be evolved. The approach is also powerful enough to handle context-sensitive information and domain-dependent knowledge. In this paper, we describe the details of an implementation of GGP called LOGENPRO (The LOgic grammars based GENetic PROgramming system).",

author = "WONG, {Man Leung} and LEUNG, {Kwong Sak}",

year = "1996",

month = jul,

doi = "10.5555/1595536.1595611",

language = "English",

isbn = "9780262611275",

pages = "433",

editor = "KOZA, {John R.}",

booktitle = "Proceedings of the 1st annual conference on genetic programming",

publisher = "MIT Press",

note = "1st annual conference on genetic programming ; Conference date: 28-07-1996 Through 31-07-1996",

url = "https://dl.acm.org/doi/proceedings/10.5555/1595536",

}

TY - GEN

T1 - The Logic Grammars Based Genetic Programming System

AU - WONG, Man Leung

AU - LEUNG, Kwong Sak

PY - 1996/7

Y1 - 1996/7

N2 - Inductive Logic Programming (ILP) and Genetic Programming (GP) are two approaches in program induction. However, they are restricted in the computer languages in which programs can be induced. Generic Genetic Programming (GGP) is a novel, powerful, and general approach that combines ILP and GP. Using GGP, programs in various programming languages such as Lisp, Prolog, and Fuzzy Prolog can be evolved. The approach is also powerful enough to handle context-sensitive information and domain-dependent knowledge. In this paper, we describe the details of an implementation of GGP called LOGENPRO (The LOgic grammars based GENetic PROgramming system).

AB - Inductive Logic Programming (ILP) and Genetic Programming (GP) are two approaches in program induction. However, they are restricted in the computer languages in which programs can be induced. Generic Genetic Programming (GGP) is a novel, powerful, and general approach that combines ILP and GP. Using GGP, programs in various programming languages such as Lisp, Prolog, and Fuzzy Prolog can be evolved. The approach is also powerful enough to handle context-sensitive information and domain-dependent knowledge. In this paper, we describe the details of an implementation of GGP called LOGENPRO (The LOgic grammars based GENetic PROgramming system).

U2 - 10.5555/1595536.1595611

DO - 10.5555/1595536.1595611

M3 - Conference paper (refereed)

SN - 9780262611275

SP - 433

BT - Proceedings of the 1st annual conference on genetic programming

A2 - KOZA, John R.

PB - MIT Press

T2 - 1st annual conference on genetic programming

Y2 - 28 July 1996 through 31 July 1996

ER -

The Logic Grammars Based Genetic Programming System

Abstract

Conference

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