<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>31</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Suzanne Sadedin</AUTHOR>
		<AUTHOR>Greg Paperin</AUTHOR>
	</AUTHORS>
	<YEAR>2009</YEAR>
	<TITLE>Implications of the social brain hypothesis for evolving human-like cognition in digital organisms</TITLE>
	<SECONDARY_TITLE>10th European Conference on Artificial Life (ECAL&acirc;€™09)</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Budapest</PLACE_PUBLISHED>
	<PUBLISHER>Springer</PUBLISHER>
	<TERTIARY_TITLE>Lecture Notes in Computer Science</TERTIARY_TITLE>
	<DATE>13/09/2009</DATE>
	<KEYWORDS>
		<KEYWORD>artificial</KEYWORD>
		<KEYWORD>intelligence,</KEYWORD>
		<KEYWORD>sociality,</KEYWORD>
		<KEYWORD>evolution,</KEYWORD>
		<KEYWORD>social</KEYWORD>
		<KEYWORD>selection,</KEYWORD>
		<KEYWORD>Machiavellian</KEYWORD>
		<KEYWORD>intelligence,</KEYWORD>
		<KEYWORD>ALife</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>Data show that human-like cognitive traits do not evolve in animals through natural selection. Rather, human-like cognition evolves through runaway selection for social skills. Here, we discuss why social selection may be uniquely effective for promoting human-like cognition, and the conditions that facilitate it. These observations suggest future directions for artificial life research aimed at generating human-like cognition in digital organisms.</ABSTRACT>
</RECORD>
</RECORDS></XML>
