“AIXI is a universal theory of sequential decision making akin to Solomonoff’s celebrated universal theory of induction. Solomonoff derived an optimal way of predicting future data, given previous observations, provided the data is sampled from a computable probability distribution. AIXI extends this approach to an optimal decision making agent embedded in an unknown environment.”
Right—but they know that. AIXI is a self-confessed abstract model.
IMO, AIXI does have some marketing issues. For instance:
“The book also presents a preliminary computable AI theory. We construct an algorithm AIXItl, which is superior to any other time t and space l bounded agent.”
That seems to be an inaccurate description, to me.
“AIXI is a universal theory of sequential decision making akin to Solomonoff’s celebrated universal theory of induction. Solomonoff derived an optimal way of predicting future data, given previous observations, provided the data is sampled from a computable probability distribution. AIXI extends this approach to an optimal decision making agent embedded in an unknown environment.”
http://www.hutter1.net/ai/uaibook.htm
Okay, you’re right, my apologies. The point about uncomputability and uselessness of the decision theory still stands.
Right—but they know that. AIXI is a self-confessed abstract model.
IMO, AIXI does have some marketing issues. For instance:
“The book also presents a preliminary computable AI theory. We construct an algorithm AIXItl, which is superior to any other time t and space l bounded agent.”
That seems to be an inaccurate description, to me.