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Human-level AI: Human-level AI (HLAI) is a hypothetical type of artificial intelligence that would be as intelligent as a human. This would mean that it would be able to understand and respond to the world in a way that is indistinguishable from a human. See also Turing Test, Intelligence, Artificial Intelligence, Behavior.
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Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments.

 
Author Concept Summary/Quotes Sources

Marvin Minsky on Human Level AI - Dictionary of Arguments

Norvig I 27
Human Level artificial intelligence/artificial general Intelligence/Minsky/Norvig/Russell: Despite these successes, some influential founders of AI, including John McCarthy (2007)(1), Marvin Minsky (2007)(2), Nils Nilsson (1995(3), 2005(4)) and Patrick Winston (Beal and Winston, 2009)(5), have expressed discontent with the progress of AI. They think that AI should put less emphasis on creating ever-improved versions of applications that are good at a specific task, such as driving a car, playing chess, or recognizing speech.
Instead, they believe AI should return to its roots of striving for, in Simon’s words, “machines that think, that learn and that create.” They call the effort human-level AI or HLAI; their first symposium was in 2004 (Minsky et al., 2004)(6). The effort will require very large knowledge bases; Hendler et al. (1995)(7) discuss where these knowledge bases might come from.
>Artificial general intelligence/Norvig.


1. McCarthy, J. (2007). From here to human-level AI. AIJ, 171(18), 1174–1182.
2. Minsky, M. L. (2007). The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the
Future of the Human Mind. Simon and Schuster
3. Nilsson, N. J. (1995). Eye on the prize. AIMag, 16(2), 9–17
4. Nilsson, N. J. (2005). Human-level artificial intelligence? be serious! AIMag, 26(4), 68–75.
5. Beal, J. and Winston, P. H. (2009). The new frontier of human-level artificial intelligence. IEEE Intelligent Systems, 24(4), 21–23.
6. Minsky, M. L., Singh, P., and Sloman, A. (2004). The st. thomas common sense symposium: Designing architectures for human-level intelligence. AIMag, 25(2), 113–124.
7. Hendler, J., Carbonell, J. G., Lenat, D. B., Mizoguchi, R., and Rosenbloom, P. S. (1995). VERY large knowledge bases – Architecture vs engineering. In IJCAI-95, pp. 2033–2036.


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Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments
The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.

Minsky I
Marvin Minsky
The Society of Mind New York 1985

Minsky II
Marvin Minsky
Semantic Information Processing Cambridge, MA 2003

Norvig I
Peter Norvig
Stuart J. Russell
Artificial Intelligence: A Modern Approach Upper Saddle River, NJ 2010


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Ed. Martin Schulz, access date 2024-04-29
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