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<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>31</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Koza, J. R.</AUTHOR>
		<AUTHOR>Bennett, F.</AUTHOR>
		<AUTHOR>Andre, D.</AUTHOR>
		<AUTHOR>Keane, M. A.</AUTHOR>
	</AUTHORS>
	<YEAR>1999</YEAR>
	<TITLE>Genetic Programming: Turing's Third Way to Achieve Machine Intelligence</TITLE>
	<SECONDARY_AUTHORS>
		<SECONDARY_AUTHOR>Kaisa Miettinen and Marko M. Makela and Pekka Neittaanmaki and Jacques Periaux</SECONDARY_AUTHOR>
	</SECONDARY_AUTHORS>
	<SECONDARY_TITLE>Evolutionary Algorithms in Engineering and Computer Science</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Jyvaskyla, Finland</PLACE_PUBLISHED>
	<PUBLISHER>John Wiley \& Sons</PUBLISHER>
	<PAGES>185--197</PAGES>
	<DATE>"30 " # may # "</DATE>
	<ISBN>0-471-99902-4</ISBN>
	<KEYWORDS>
		<KEYWORD>genetic</KEYWORD>
		<KEYWORD>algorithms,</KEYWORD>
		<KEYWORD>genetic</KEYWORD>
		<KEYWORD>programming</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>This paper is about genetic programming - a way to
                 implement Turing's third way to achieve machine
                 intelligence. Genetic programming is a &quot;genetical or
                 evolutionary&quot; technique that automatically creates a
                 computer program from a high-level statement of a
                 problem's requirements.</ABSTRACT>
	<URL>http://www.genetic-programming.com/jkpdf/eurogen1999turing.pdf</URL>
</RECORD>
</RECORDS></XML>