Stevan Harnad
Abstract
It is important to understand that the Turing Test (TT) is not, nor was it intended to be, a trick; how well one can fool someone is not a measure of scientific progress. The TT is an empirical criterion: It sets AI's empirical goal to be to generate human scale performance capacity. This goal will be met when the candidate's performance is totally indistinguishable from a human's. Until then, the TT simply represents what it is that AI must endeavor eventually to accomplish scientifically.
- Harnad, S., (ed.) Categorical Perception: The Groundwork of Cognition. New York: Cambridge University Press. 1987.Google Scholar
- Harnad, S., "Minds, Machines and Searle." Journal of Theoretical and Experimental Artificial Intelligence 1: 5-25. 1989. Google ScholarDigital Library
- Harnad, S., "The Symbol Grounding Problem." Physica D 42: 335-346. 1990. Google ScholarDigital Library
- Harnad, S., "Other bodies, Other minds: A machine incarnation of an old philosophical problem." Minds and Machines 1: 43-54. 1991. Google ScholarDigital Library
- Harnad, S., Hanson, S. J. & Lubin, J., "Categorical Perception and the Evolution of Supervised Learning in Neural Nets." In: Working Papers of the AAAI Spring Symposium on Machine Learning of Natural Language and Ontology (DW Powers & L Reeker, Eds.) pp. 65-74. Presented at Symposium on Symbol Grounding: Problems and Practice, Stanford University, March 1991; also reprinted as Document D91-09, Deutsches Forschungszentrum für Küenstliche Intelligenz GmbH, Kaiserslautern FRG. 1991.Google Scholar
- Harnad, S., "Connecting Object to Symbol in Modeling Cognition." In: A. Clarke and R. Lutz (Eds) Connectionism in Context, Springer Verlag. 1992.Google Scholar
Index Terms
- The Turing Test is not a trick: Turing indistinguishability is a scientific criterion
Recommendations
Turing test
Encyclopedia of Computer ScienceCan machines think? This question is difficult to answer because the words ";machines" and "think" and even the word "can" are open to different interpretations. Alan Turing thought that the question was "too meaningless to deserve discussion" and ...
Not another look at the turing test!
SOFSEM'12: Proceedings of the 38th international conference on Current Trends in Theory and Practice of Computer SciencePractical application of the Turing Test throws up all sorts of questions regarding the nature of intelligence in both machines and humans. For example - Can machines tell original jokes? What would this mean to a machine if it did so? It has been found ...
The Questioning Turing Test
AbstractThe Turing Test (TT) is best regarded as a model to test for intelligence, where an entity’s intelligence is inferred from its ability to be attributed with ‘human-likeness’ during a text-based conversation. The problem with this model, however, ...
Comments