. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs.
The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include
reasoning,
knowledge representation,
planning,
learning,
natural language processing,
perception, and the ability to move and manipulate objects.
General intelligence (the ability to solve an arbitrary problem) is among the field's long-term goals. To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques, including search and mathematical optimization, formal logic,
artificial neural networks, and methods based on
statistics,
probability, and
economics. AI also draws upon
computer science,
psychology,
linguistics,
philosophy, and many other fields.
