398 citations · 1.8k across the 163 of their papers we have counts for
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Tests of Machine Intelligence
Shane Legg, Marcus Hutter
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…
Universal Intelligence: A Definition of Machine Intelligence
Shane Legg, Marcus Hutter
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…
On Universal Prediction and Bayesian Confirmation
Marcus Hutter
The Bayesian framework is a well-studied and successful framework for inductive reasoning, which includes hypothesis testing and confirmation, parameter estimation, sequence predic…
On Semimeasures Predicting Martin-Loef Random Sequences
Marcus Hutter, Andrej Muchnik
Solomonoff's central result on induction is that the posterior of a universal semimeasure M converges rapidly and with probability 1 to the true sequence generating posterior mu, i…
A Collection of Definitions of Intelligence
Shane Legg, Marcus Hutter
This paper is a survey of a large number of informal definitions of ``intelligence'' that the authors have collected over the years. Naturally, compiling a complete list would be i…
Learning about a Categorical Latent Variable under Prior Near-Ignorance
Alberto Piatti, Marco Zaffalon, Fabio Trojani +1
It is well known that complete prior ignorance is not compatible with learning, at least in a coherent theory of (epistemic) uncertainty. What is less widely known, is that there i…