Machine intelligence: Difference between revisions
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''' | '''Machine intelligence''' ('''MI''') is intelligence demonstrated by machines, in contrast to [[Human intelligence|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 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* search algorithm|A*]] were considered part of artificial intelligence.<ref>Russell, S. J. (2003). Artificial Intelligence: A Modern Approach. p.97-104.</ref> 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. | 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* search algorithm|A*]] were considered part of artificial intelligence.<ref>Russell, S. J. (2003). Artificial Intelligence: A Modern Approach. p.97-104.</ref> 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]], | 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]] | # the ability to take units of data and transform them into useful information via [[computation]], | ||
# [[Attention|attend]] to that [[information]] | # [[Attention|attend]] to that [[information]] and [[Organization|organize]] it into [[meaning|meanings]] and [[Correlation|relationships]], | ||
# create decisions from that [[analysis]], | |||
# | # and apply those decisions by taking [[action]]. | ||
== See also == | == See also == | ||
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== References == | == References == | ||
<references /> | <references /> | ||
[[Category:Machine intelligence]] | |||
Latest revision as of 19:25, 28 May 2023
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.[1] 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
References
- ↑ Russell, S. J. (2003). Artificial Intelligence: A Modern Approach. p.97-104.