Towards The Integration Of Learning Into Mainstream Computer Programming
This paper argues that statistical learning from examples is not only useful in nature, but also has its rm utility in conventional software development. It presents preliminary work towards an extension of C++ that makes it possible to \train" C++ programs through examples. A mobile robot implementation suggests that the development of software using these learning tools, can be an order of magnitude faster than conventional computer programming.