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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 10, OCTOBER 2015

Approaches to Measuring the Intelligence of Machines by Quantifying them

Prerna Kapoor

DOI: 10.17148/IJARCCE.2015.41017

Abstract: Artificial intelligence is a very broad term which covers many fields and thus for measuring how far researchers have reached we need an accurate method of characterizing the intelligence of machines. The reason there isn�t one common test for all systems is because intelligence depends on various factors which may vary depending on the environment.The most famous test for measuring intelligence, the Turing Test, has flaws attached to it.Thus, this paper highlights a few of the limitations of the Turing Test and also, describes a few of the other tests used by researchers to evaluate intelligent machines.



Keywords: Artificial Intelligence, Turing Test, intelligent systems, measure of intelligence.

How to Cite:

[1] Prerna Kapoor, “Approaches to Measuring the Intelligence of Machines by Quantifying them,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.41017