%0 Conference Paper %1 wong:1995:cGPilp %A Wong, Man Leung %A Leung, Kwong Sak %B 1995 IEEE Conference on Evolutionary Computation %C Perth, Australia %D 1995 %I IEEE Press %K LOGENPRO algorithms, genetic programming, %P 733--736 %T Combining Genetic Programming and Inductive Logic Programming using Logic Grammars %U http://cptra.ln.edu.hk/~mlwong/conference/icec1995.pdf %V 2 %X Genetic Programming (GP) and Inductive Logic Programming (ILP) have received increasing interest recently. 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. In this paper, a framework to combine GP and ILP is presented. The framework is based on a formalism of logic grammars and a system called LOGENPRO (the LOgic grammar based GENetic PROgramming system) is developed. It is so flexible that programs in different programming languages such as LISP, Prolog, and C can be induced. The performance of LOGENPRO in inducing logic programs from noisy examples is also evaluated. A detailed comparison to FOIL and mFOIL has been conducted. The experiment demonstrates that LOGENPRO is a promising alternative to other inductive logic programming systems and sometimes is superior for handling noisy data.

@inproceedings{wong:1995:cGPilp, abstract = {Genetic Programming (GP) and Inductive Logic Programming (ILP) have received increasing interest recently. 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. In this paper, a framework to combine GP and ILP is presented. The framework is based on a formalism of logic grammars and a system called LOGENPRO (the LOgic grammar based GENetic PROgramming system) is developed. It is so flexible that programs in different programming languages such as LISP, Prolog, and C can be induced. The performance of LOGENPRO in inducing logic programs from noisy examples is also evaluated. A detailed comparison to FOIL and mFOIL has been conducted. The experiment demonstrates that LOGENPRO is a promising alternative to other inductive logic programming systems and sometimes is superior for handling noisy data.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Perth, Australia}, author = {Wong, Man Leung and Leung, Kwong Sak}, biburl = {https://www.bibsonomy.org/bibtex/22479d66949aa1a150a8cd3e90ccab837/brazovayeye}, booktitle = {1995 IEEE Conference on Evolutionary Computation}, interhash = {ba7682906139abcdae4ef78f982fd28e}, intrahash = {2479d66949aa1a150a8cd3e90ccab837}, keywords = {LOGENPRO algorithms, genetic programming,}, month = {29 November - 1 December}, notes = {ICEC-95 Editors not given by IEEE, Organisers David Fogel and Chris deSilva. conference details at http://ciips.ee.uwa.edu.au/~dorota/icnn95.html}, pages = {733--736}, publisher = {IEEE Press}, publisher_address = {Piscataway, NJ, USA}, timestamp = {2008-06-19T17:54:21.000+0200}, title = {Combining Genetic Programming and Inductive Logic Programming using Logic Grammars}, url = {http://cptra.ln.edu.hk/~mlwong/conference/icec1995.pdf}, volume = 2, year = 1995 }