Editing Algorithmic probability (section)

===The AIXI Model===
The AIXI model is the centerpiece of Hutter’s theory. It describes a universal artificial agent designed to maximize expected rewards in an unknown environment. AIXI operates under the assumption that the environment can be represented by a computable probability distribution. It uses past observations to infer the most likely environmental model, leveraging algorithmic probability.
Mathematically, AIXI evaluates all possible future sequences of actions and observations. It computes their algorithmic probabilities and expected utilities, selecting the sequence of actions that maximizes cumulative rewards. This approach transforms sequential decision-making into an optimization problem. However, the general formulation of AIXI is incomputable, making it impractical for direct implementation.