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The Universal Intelligence Measure is a recently proposed formal definition of intelligence.
Computing machinery and intelligence
Turing, A. M. (1950) · 1950
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A formal theory of inductive inference: Part 1 and 2
Solomonoff, R. J. (1964) · 1964
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Complexity-based induction systems: comparisons and convergence theorems
Solomonoff, R. J. (1978) · 1978
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Learning from Delayed Rewards
Watkins, C. (1989) · 1989
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A non-behavioural, computational extension to the Turing Test
Dowe, D. L. and Hajek, A. R. (1998) · 1998
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A formal definition of intelligence based on an intensional variant of algorithmic complexity
Hernandez-orallo, J. and Minaya-collado, N. (1998) · 1998
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Reinforcement learning: An introduction
Sutton, R. and Barto, A. (1998) · 1998
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Beyond the Turing Test
Hernández-Orallo, J. (2000) · 2000
Earlier work this paper cites.
Towards a universal theory of artificial intelligence based on algorithmic probability and sequential decisions
Hutter, M. (2001) · 2001
Cited alongside, same era.
Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability
Hutter, M. (2005) · 2005
Cited alongside, same era.
Temporal difference updating without a learning rate
Hutter, M. and Legg, S. (2007) · 2007
Cited alongside, same era.
Universal intelligence: A definition of machine intelligence
Legg, S. and Hutter, M. (2007) · 2007
Cited alongside, same era.
An introduction to Kolmogorov complexity and its applications
Li, M. and Vitányi, P. M. B. (2008) · 2008
Cited alongside, same era.
Generic compression benchmark
Mahoney, M. (2008) · 2008
Cited alongside, same era.
Adaptive optimal allocation in stratified sampling methods
Étoré, P. and Jourdain, B. (2010) · 2010
Later among the works it cites.
A (hopefully) unbiased universal environment class for measuring intelligence of biological and artificial systems
Hernández-Orallo, J. (2010) · 2010
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Measuring universal intelligence: Towards an anytime intelligence test
Hernández-Orallo, J. and Dowe, D. L. (2010) · 2010
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Reinforcement learning via AIXI approximation
Veness, J., Ng, K. S., Hutter, M., and Silver, D. (2010) · 2010
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Evaluating a reinforcement learning algorithm with a general intelligence test
Insa-Cabrera, J., Dowe, D. L., and Hernandez-Orallo, J. (2011b) · 2011
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Measuring Intelligence through Games
Schaul, T., Togelius, J., and Schmidhuber, J. (2011) · 2011
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Bias and no free lunch in formal measures of intelligence
Hibbard, B. (2009) · 2009
Cited alongside, same era.
Comparing humans and ai agents
Insa-Cabrera, J., Dowe, D. L., Espana-Cubillo, S., Hernandez-Lloreda, M., and Hernandez-Orallo, J. (2011a)
Cited in the paper.
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A Monte-Carlo AIXI Approximation
Veness, J., Ng, K. S., Hutter, M., Uther, W., and Silver, D. (2011) · 2011
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