An Induction System that Learns Programs in different Programming Languages using Genetic Programming and Logic Grammars

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{wong:1995:islpdpl,

• author = "Man Leung Wong and Kwong Sak Leung",
• title = "An Induction System that Learns Programs in different Programming Languages using Genetic Programming and Logic Grammars",
• booktitle = "Proceedings of the 7th IEEE International Conference on Tools with Artificial Intelligence",
• year = "1995",
• pages = "380--387",
• address = "Herndon, VA, USA",
• month = "5-8 " # nov,
• keywords = "genetic algorithms, genetic programming, LOGENPRO, FOIL, Fuzzy Prolog, LISP, LOGENPRO, Prolog, context-ensitive information, domain-dependent knowledge, induction system, inductive logic programming, learning, logic grammars, noisy examples, performance, problem solving, programming languages, data handling, grammars, learning (artificial intelligence), logic programming, logic programming languages, software tools, uncertainty handling",
• ISBN = "0-8186-7312-5",
• DOI = "doi:10.1109/TAI.1995.479782",
• size = "8 pages",
• abstract = "Genetic programming (GP) and inductive logic programming (ILP) have received increasing interest. Since their formalisms are so different these two approaches cannot be integrated easily though they share many common goals and functionalities. A unification will greatly enhance their problem solving power. Moreover, they are restricted in the computer languages in which programs can be induced. We present a flexible system called LOGENPRO (The logic grammar based genetic programming system) that combines GP and ILP. It is based on a formalism of logic grammars. The system can learn programs in various programming languages and represent context-sensitive information and domain-dependent knowledge. The performance of LOGENPRO in inducing logic programs from noisy examples is evaluated. A detailed comparison with FOIL has been conducted. This experiment demonstrates that LOGENPRO is a promising alternative to other inductive logic programming systems and sometimes is superior for handling noisy data. Moreover, a series of examples are used to illustrate that LOGENPRO is so flexible that programs in different programming languages including LISP, Prolog and Fuzzy Prolog can be induced",
• notes = "Logic grammars are the generalisation of context free grammars. LOGENPRO is a generalisation and extension of GLPS. LOGENPRO better than GP on dot vector product. LOGENPRO better than FOIL on chess end game. {"}LOGENPRO can emulate the effect of STGP effortlessly{"}. Chess endgame and Prolog fuzzy logic examples.",

}

Genetic Programming entries for Man Leung Wong Kwong-Sak Leung

Citations