From Wikipedia:AIXI ['aiksi] is a theoretical mathematical formalism for artificial general intelligence. It combines Solomonoff induction with sequential decision theory. AIXI was first proposed by Marcus Hutter in 2000[1] and the results below are proved in Hutter's 2005 book Universal Artificial Intelligence.[2]Albeit non-computable, approximations are possible, such as AIXItl. Finding approximations to AIXI could be an objective way for solving AI.My question is: is AIXI really a big deal in artificial general intelligence research? Can it be thought as a central concept for the field? If so, why don't we have more publications on this subject (or maybe we have and I'm not aware of them)?
What is the relevance of AIXI on current artificial intelligence research?
models;agi