EuroGP 2018 panel debate: genetic programming in the era of deep neural networks

Penousal Machado; Una-May O'Reilly; Marco Gori; Sebastian Risi

doi:10.1145/3264700.3264701

EuroGP 2018 panel debate: genetic programming in the era of deep neural networks

Penousal Machado, Una-May O'Reilly, Marco Gori, Sebastian Risi

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Research output: Journal Article or Conference Article in Journal › Comment/debate › Research

Abstract

In April this year the programme chairs of EuroGP, the largest conference dedicated to genetic programming, Mauro Castelli and Lukas Sekanina, organised a panel discussion and debate about genetic programming with respect to the undoubted recent successes of other Artificial Intelligence techniques, particularly Deep Learning. The discussion was moderated by Prof. Wolfgang Banzhaf who holds the John R. Koza chair in genetic programming at Michigan State University in the USA. He started by inviting each member of the panel to give their position.

Original language	English
Journal	ACM SIGEVOlution
Volume	11
Issue number	2
Pages (from-to)	3-6
Number of pages	4
DOIs	https://doi.org/10.1145/3264700.3264701
Publication status	Published - 2018

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title = "EuroGP 2018 panel debate: genetic programming in the era of deep neural networks",

abstract = "In April this year the programme chairs of EuroGP, the largest conference dedicated to genetic programming, Mauro Castelli and Lukas Sekanina, organised a panel discussion and debate about genetic programming with respect to the undoubted recent successes of other Artificial Intelligence techniques, particularly Deep Learning. The discussion was moderated by Prof. Wolfgang Banzhaf who holds the John R. Koza chair in genetic programming at Michigan State University in the USA. He started by inviting each member of the panel to give their position.",

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EuroGP 2018 panel debate: genetic programming in the era of deep neural networks

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