Tests of Machine Intelligence
Shane Legg, Marcus Hutter

TL;DR
This paper surveys various tests of machine intelligence, highlighting the lack of awareness of alternatives to the Turing test and emphasizing the importance of diverse evaluation methods.
Contribution
It provides a comprehensive overview of existing machine intelligence tests, addressing a gap in the literature and promoting awareness of alternative evaluation approaches.
Findings
Many tests of machine intelligence have been proposed.
Few researchers are aware of alternatives to the Turing test.
The paper highlights the diversity of evaluation methods.
Abstract
Although the definition and measurement of intelligence is clearly of fundamental importance to the field of artificial intelligence, no general survey of definitions and tests of machine intelligence exists. Indeed few researchers are even aware of alternatives to the Turing test and its many derivatives. In this paper we fill this gap by providing a short survey of the many tests of machine intelligence that have been proposed.
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Fractal and DNA sequence analysis · Machine Learning and Algorithms
