Cognitive robotics, robot learning, universal search and learning algorithms, Kolmogorov complexity, algorithmic probability, Speed Prior, minimal description length, generalization and data compression, recurrent neural networks, financial forecasting with low-complexity nets, independent component analysis, low-complexity codes, reinforcement learning in partially observable environments, adaptive subgoal generation, multiagent learning, artificial evolution, probabilistic program evolution, automatic music composition, metalearning, self-modifying policies, Gödel machines, low-complexity art, theories of interestingness and beauty.