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| Resource type: Journal Article Published DOI: 10.2478/jagi-2014-0001 BibTeX citation key: Goertzel2014 Email resource to friend View all bibliographic details |
Categories: AI/Machine Learning Keywords: Artificial General Intelligence, Artificial Intelligence Creators: Goertzel Collection: Journal of Artificial General Intelligence |
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| Abstract |
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In recent years broad community of researchers has emerged, focusing on the original ambitious goals of the AI field - the creation and study of software or hardware systems with general intelligence comparable to, and ultimately perhaps greater than, that of human beings. This paper surveys this diverse community and its progress. Approaches to defining the concept of Artificial General Intelligence (AGI) are reviewed including mathematical formalisms, engineering, and biology inspired perspectives. The spectrum of designs for AGI systems includes systems with symbolic, emergentist, hybrid and universalist characteristics. Metrics for general intelligence are evaluated, with a conclusion that, although metrics for assessing the achievement of human-level AGI may be relatively straightforward (e.g. the Turing Test, or a robot that can graduate from elementary school or university), metrics for assessing partial progress remain more controversial and problematic.
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