David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Minds and Machines 20 (2):203-212 (2010)
This paper revisits the often debated question Can machines think? It is argued that the usual identification of machines with the notion of algorithm has been both counter-intuitive and counter-productive. This is based on the fact that the notion of algorithm just requires an algorithm to contain a finite but arbitrary number of rules. It is argued that intuitively people tend to think of an algorithm to have a rather limited number of rules. The paper will further propose a modification of the above mentioned explication of the notion of machines by quantifying the length of an algorithm. Based on that it appears possible to reconcile the opposing views on the topic, which people have been arguing about for more than half a century.
|Keywords||AI debate Algorithmic Kolmogorov complexity Turing Test|
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Luciano Floridi & Mariarosaria Taddeo (2009). Turing's Imitation Game: Still an Impossible Challenge for All Machines and Some Judges––an Evaluation of the 2008 Loebner Contest. [REVIEW] Minds and Machines 19 (1):145-150.
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Citations of this work BETA
J. Ignacio Serrano, M. Dolores del Castillo & Manuel Carretero (2014). Cognitive? Science? Foundations of Science 19 (2):115-131.
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