conclusions the system will be able to assemble new working model appropriate for the task using very little datathanks to rich program-like primitives that generalize welland extensive experience with similar tasks in the same wayhumans can quickly learn to play complex new video game if they have experience with many previous gamesbecause the models derived from this previous experience are abstract and program-likerather than basic mapping between stimuli and action as suchthis perpetually learning model-growing system can be interpreted as an artificial general intelligence (agibut don' expect any singularitarian robot apocalypse to ensuethat' pure fantasycoming from long series of profound misunderstandings of both intelligence and technology such critiquehoweverdoesn' belong in this book licensed to