. Artificial Intelligence
Artificial intelligence; algorithmic probability; sequential decision theory; Solomonoff induction; Kolmogorov complexity; Bayes mixture distributions; reinforcement learning; universal sequence prediction; tight loss and error bounds; universal Levin search; strategic games; function minimization; supervised learning; adaptive control theory; rational agents; exploration versus exploitation.
The universal algorithmic agent AIXI. 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.Human beings function in one predictable way: we pursue pathways that lead to pleasure and we stay away from pathways that lead to pain. Why do we eat good food compared to bad food? Because we like good food and we don’t like bad food. Why do we want a higher paying job instead of being homeless? Because we like more money and we don’t want to be homeless. Why do we not break laws instead of breaking laws? Because we want to be good citizens and we don’t want the consequences of breaking the law. From these examples you have an idea why human beings pursue pleasure and stay away from pain. I call this learning machine “Universal Artificial Intelligence”. UAI is a program that has a bootstrapping process that retains old information and uses the old information to learn new information. Species such as bacterias, insects, animals and humans can learn from past experienc