Neural networks for abstraction and reasoning: Towards broad generalization in machines

For half a century, artificial intelligence research has attempted to reproduce the human qualities of abstraction and reasoning - creating computer systems that can learn new concepts from a minimal set of examples, in settings where humans find this easy. While specific neural networks are able to solve an impressive range of problems, broad generalisation to situations outside their training data has proved elusive.In this work, we look at several novel approaches for solving the Abstraction & Reasoning Corpus (ARC), …

abstraction artificial artificial intelligence computer computer systems concepts cs.ai cs.cl cs.lg easy examples human humans intelligence learn machines networks neural networks reasoning research set solve systems