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Artificial Intelligence and Neural Networks The Legacy of Alan Turing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mühlenbein, Heinz |
| Abstract | The work of Alan Turing and John von Neumann on machine intelligence and artificial automata is reviewed. Turing’s proposal to create a child machine with the ability to learn is discussed. Von Neumann’s had doubts that with teacher based learning it will be possible to create artificial intelligence. He concentrated his research on the issue of complication, probabilistic logic, and selfreproducing automata. The problem of creating artificial intelligence is far from being solved. In the last sections of the paper I review the state of the art in probabilistic logic, complexity research, and transfer learning. These topics have been identified as essential components of artificial intelligence by Turing and von Neumann. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://muehlenbein.org/Mue06t.pdf |
| Alternate Webpage(s) | http://www.muehlenbein.org/Mue06t.pdf |
| Alternate Webpage(s) | http://www.ais.fraunhofer.de/~muehlen/publications/Mue06t.pdf |
| Alternate Webpage(s) | http://www.muehlenbein.org/Mue06ta.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
