Archived from the original on 26 July 2020. 17–25 Formal reasoning: * Berlinski, David (2000). AI applications widely used behind the scenes: * Russell & Norvig 2003, p.
Archived from the original on 16 June 2018. "Will robots create more jobs than they destroy?". Ford, Martin Colvin, Geoff (6 September 2015). "RadioComics – Santa Claus and the future of radiology". Archived from the original on 28 August 2017. Back and forth between myth and reality, our imaginations supplying what our workshops couldn't, we have engaged for a long time in this odd form of self-reproduction." She traces the desire back to its Hellenistic roots and calls it the urge to "forge the Gods." "Stephen Hawking believes AI could be mankind's last accomplishment".
IMOVIE 10.1.2 ADVANCED TOOLS FULL
She writes: "I like to think of artificial intelligence as the scientific apotheosis of a venerable cultural tradition." "Artificial intelligence in one form or another is an idea that has pervaded Western intellectual history, a dream in urgent need of being realized." "Our history is full of attempts-nutty, eerie, comical, earnest, legendary and real-to make artificial intelligences, to reproduce what is the essential us-bypassing the ordinary means. This is a central idea of Pamela McCorduck's Machines Who Think. General intelligence (strong AI) is discussed in popular introductions to AI: * Kurzweil 1999 and Kurzweil 2005 See the Dartmouth proposal, under Philosophy, below. McCarthy recently reiterated his position at the conference where he said "Artificial intelligence is not, by definition, simulation of human intelligence". Kolata quotes McCarthy as writing: "This is AI, so we don't care if it's psychologically real". 100–101, who writes that there are "two major branches of artificial intelligence: one aimed at producing intelligent behavior regardless of how it was accomplished, and the other aimed at modeling intelligent processes found in nature, particularly human ones." Kolata 1982, a paper in Science, which describes McCarthy's indifference to biological models. 2–3, who make the analogy with aeronautical engineering.
intelligence in general: Russell & Norvig 2003, pp. and these with own sub-subfield-that would hardly have anything to say to each other." This list of intelligent traits is based on the topics covered by the major AI textbooks, including: * Russell & Norvig 2003 * Luger & Stubblefield 2004 * Poole, Mackworth & Goebel 1998 * Nilsson 1998 Kolata 1982.
424) writes of "the rough shattering of AI in subfields-vision, natural language, decision theory, genetic algorithms, robotics. 301–318 AI becomes hugely successful in the early 21st century * Clark 2015 Pamela McCorduck (2004, p. 189–201 Second AI winter: * McCorduck 2004, pp. 235–248 First AI Winter, Mansfield Amendment, Lighthill report * Crevier 1993, pp. Boom of the 1980s: rise of expert systems, Fifth Generation Project, Alvey, MCC, SCI: * McCorduck 2004, pp. Optimism of early AI: * Herbert Simon quote: Simon 1965, p. Archived (PDF) from the original on 21 April 2020. AI.mil - The official site of the Department of Defense Joint Artificial Intelligence Center. "Department of Defense Joint AI Center - Understanding AI Technology" (PDF). Archived from the original on 10 March 2016. Archived from the original on 11 September 2019. "How AI Is Getting Groundbreaking Changes In Talent Management And HR Tech". Archived (PDF) from the original on 25 August 2018. "Artificial Intelligence: An Introduction, p. Nilsson 1998 Legg & Hutter 2007 Russell & Norvig 2009, p. Russell & Norvig (2003) (who prefer the term "rational agent") and write "The whole-agent view is now widely accepted in the field". These authors use the term "computational intelligence" as a synonym for artificial intelligence. Definition of AI as the study of intelligent agents: Poole, Mackworth & Goebel (1998), which provides the version that is used in this article. GitHub - Aryia-Behroziuan/References: Poole, Mackworth & Goebel 1998, p.
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