Buch, Englisch, 460 Seiten, Print PDF, Format (B × H): 135 mm x 203 mm, Gewicht: 533 g
Buch, Englisch, 460 Seiten, Print PDF, Format (B × H): 135 mm x 203 mm, Gewicht: 533 g
ISBN: 978-0-19-824854-5
Verlag: Oxford University Press
Is `artificial intelligence' a contradiction in terms? Could computers (in principle) model every aspect of the mind, including logic, language, and emotion? What of the more brain-like, connectionist computers: could they really understand, even if digital computers cannot? This collection of classic and contemporary readings (which includes an editor's introduction and an up-to-date reading list) provides a clearly signposted pathway into hotly disputed philosophical issues at the heart of artificial intelligence.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction; Warren S. McCulloch and Walter H. Pitts: A Logical Calculus of Nervous Activity; Alan M. Turing: Computing Machinery and Intelligence; John R. Searle: Minds, Brains, and Programs; Margaret A. Boden: Escaping from the Chinese Room; Allen Newell and Herbert A. Simon: Computer Science as Empirical Enquiry: Symbols and Search; David C. Marr: Artificial Intelligence: A Personal View; Daniel C. Dennett: Cognitive Wheels: The Frame Problem of AI; Patrick J. Hayes: The Naive Physics Manifesto; Drew McDermott: A Critique of Pure Reason; Aaron Sloman: Motives, Mechanisms, and Emotions; Geoffrey E. Hinton, James L. McClelland, and David E. Rumelhart: Distributed Representations; Andy Clark: Connectionism, Competence, and Explanation; Hubert L. Dreyfus and Stewart E. Dreyfus: Making a Mind Versus Modelling the Brain; Paul M. Churchland: Some Reductive Strategies in Cognitive Neurobiology; Adrian Cussins: The Connectionist Construction of Concepts
