David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Minds and Machines 17 (4):391-444 (2007)
A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: we take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines.
|Keywords||AIXI complexity theory intelligence theoretical foundations Turing test intelligence tests/measures/definitions|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Kaj Sotala (2012). Advantages of Artificial Intelligences, Uploads, and Digital Minds. International Journal of Machine Consciousness 4 (01):275-291.
Achim Hoffmann (2010). Can Machines Think? An Old Question Reformulated. Minds and Machines 20 (2):203-212.
Reza Zamani (2010). An Object-Oriented View on Problem Representation as a Search-Efficiency Facet: Minds Vs. Machines. [REVIEW] Minds and Machines 20 (1):103-117.
José Hernández-Orallo & David L. Dowe (2013). On Potential Cognitive Abilities in the Machine Kingdom. Minds and Machines 23 (2):179-210.
Roman Yampolskiy & Joshua Fox (2013). Safety Engineering for Artificial General Intelligence. Topoi 32 (2):217-226.
Similar books and articles
Tracy B. Henley (1990). Natural Problems and Artificial Intelligence. Behavior and Philosophy 18 (2):43-55.
David J. Chalmers (2010). The Singularity: A Philosophical Analysis. Journal of Consciousness Studies 17 (9-10):9 - 10.
Susan Anderson & Michael Anderson (eds.) (2011). Machine Ethics. Cambridge University Press.
Juyang Weng (2009). Task Muddiness, Intelligence Metrics, and the Necessity of Autonomous Mental Development. Minds and Machines 19 (1):93-115.
Susan G. Sterrett (2000). Turing's Two Tests for Intelligence. Minds and Machines 10 (4):541-559.
Murat Aydede & Guven Guzeldere (2000). Consciousness, Intentionality, and Intelligence: Some Foundational Issues for Artificial Intelligence. Journal Of Experimental and Theoretical Artificial Intelligence 12 (3):263-277.
Gerard Casey (1988). Artificial Intelligence and Wittgenstein. Philosophical Studies 32:156-175.
Adam Drozdek (1998). Human Intelligence and Turing Test. AI and Society 12 (4):315-321.
Added to index2009-01-28
Total downloads36 ( #47,027 of 1,098,880 )
Recent downloads (6 months)8 ( #26,993 of 1,098,880 )
How can I increase my downloads?