Abstract
The Turing test is considered one of the most important thought experiments in the history of AI. It is argued that the test shows how people think like computers, but is this actually true? In this paper, we discuss an entirely new perspective. Scientific languages have their foundational limitations, for example, in their power of expression. It is thus possible to discuss the limitations of formal concepts and theory languages. In order to represent real world phenomena in formal concepts, formal symbols must be given semantics and information contents; that is, they must be given an interpretation. They key argument is that it is not possible to express relevance in formal concepts only. Consequently, computational models can be valid in some specific interpretations, and the Turing test can therefore only work in specific tasks.
Original language | English |
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Title of host publication | Proceedings of the 17th International Conference on Artificial Intelligence, ICAI 2015, 27-30 July 2015, Las Vegas, Nevada |
Editors | H.R. Arabnia, D. de la Fuente, R. Dziegiel, E.B. Korezenko, P.M. LaMonica, R.A. Liuzzi, J.A. Olivas, T. Waskiewicz |
Place of Publication | s.l. |
Publisher | CSREA Press |
Pages | 433-437 |
Number of pages | 5 |
ISBN (Print) | 1-60132-405-7, 1-60132-406-5 |
Publication status | Published - 2015 |
Event | 17th International Conference on Artificial Intelligence - Monte Carlo Resort, Las Vegas, United States Duration: 27 Jul 2015 → 30 Jul 2015 |
Conference
Conference | 17th International Conference on Artificial Intelligence |
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Abbreviated title | ICAI 2015 - WORLDCOMP 2015 |
Country/Territory | United States |
City | Las Vegas |
Period | 27/07/15 → 30/07/15 |