Machine intelligence (MI) is intelligence demonstrated by machines, in contrast to human and animal intelligence, that can identify patterns in data and use these insights to make decisions when confronted with new situations.
As machines become increasingly capable, tasks considered to require 'intelligence' are often removed from the definition of artificial intelligence (AI), a phenomenon known as the AI effect. Tesler's theorem popularly states that: "Artificial intelligence is whatever hasn't been done yet." For example, optical character recognition is frequently excluded from things considered to be AI since becoming routine technology. In 2003, long before the deep learning boom, simple search algorithms such as A* were considered part of artificial intelligence. Today, machine capabilities generally classified as AI include speech recognition, competing at the highest level in strategic games such as chess and Go, operating cars autonomously, intelligent routing within content delivery networks, and military simulations.
For clarity, here at the Robowaifu Institute of Technology, machine intelligence is defined as:
- the ability to take units of data and transform them into useful information via computation,
- attend to that information and organize it into meanings and relationships,
- create decisions from that analysis,
- and apply those decisions by taking action.
See also[edit | edit source]
References[edit | edit source]
- ↑ Russell, S. J. (2003). Artificial Intelligence: A Modern Approach. p.97-104.