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cial Intelligence, 20:197-218, 2008. JM09. Daniel Jurafsky and James Martin. Speech and Language Processing. Pearson Prentice Hall, 2009. Joy00. Bill Joy. Why the future doesn't need us, Wired. April 2000. Kant91. George Kampis. Self-Modifying Systems in Biology and Cognitive Science. Plenum Press, 1
972. Wit07. David C. Witherington. The Dynamic Systems Approach as Metatheory for Developmental Psy- chology, Human Development. 50, 2007. Wol02. Stephen Wolfram. A New Kind of Science. Wolfram Media. 2002. WW06. Matt Williams and Jon Williamson. Combining argumentation and bayesian nets for breast cancer p
ificial Intelligence, 20:197—218, 2008. JMo9. Daniel Jurafsky and James Martin. Speech and Language Processing. Pearson Prentice Hall, 2009. Joy00. Bill Joy. Why the future doesn’t need us, Wired. April 2000. Kam91. George Kampis. Self-Modifying Systems in Biology and Cognitive Science. Plenum Press, 199
1972. Wit07. David C. Witherington. The Dynamic Systems Approach as Metatheory for Developmental Psy- chology, Human Development. 50, 2007. Wol02. Stephen Wolfram. A New Kind of Science. Wolfram Media, 2002. WwWwoe. Matt Williams and Jon Williamson. Combining argumentation and bayesian nets for breast cancer p
inal dissident speaking this particular truth. In April 2000, there was a lengthy opinion piece in Wired titled, “Why the Future Doesn’t Need Us,” by Bill Joy, co-founder and chief scientist of Sun Microsystems. He warned: Accustomed to living with almost routine scientific breakthroughs, we have yet to co
rofound engagement with the most important scientific minds who have been thinking about AI—from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram— Deep Thinking 1s an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and
inal dissident speaking this particular truth. In April 2000, there was a lengthy opinion piece in Wired titled, “Why the Future Doesn’t Need Us,” by Bill Joy, co-founder and chief scientist of Sun Microsystems. He warned: Accustomed to living with almost routine scientific breakthroughs, we have yet to co
rofound engagement with the most important scientific minds who have been thinking about AI—from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram— Deep Thinking 1s an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and
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