ABSTRACT
The long-term aim of the field of artificial intelligence (AI) is to endow computers and robots with intelligence, where intelligence might be defined as the ability to perform tasks and attain goals in a wide variety of environments. According to the symbolic paradigm, the right architecture for AI is one that manipulates language-like propositional representations according to formal rules. For connectionist researchers, the right architecture for AI is one that builds on massively parallel, richly interconnected networks of simple neuron-like elements. While AI researchers are primarily motivated by the engineering challenge of building intelligence into computers and robots, philosophers are more interested in the question of the character of mind. Nevertheless, the division between these two schools of AI is reflected in the philosophy of mind. The recent success of machine learning has precipitated substantial investment from the tech industry, who foresee enormous economic impact for specialist AI technologies in the short- to medium-term.
