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You added one thing in the list that makes me agree - "it can learn and adapt". Jarvis in my house uses sensors, actuators, lights, switches, etc - but mine is

You added one thing in the list that makes me agree - "it can learn and adapt". Jarvis in my house uses sensors, actuators, lights, switches, etc - but mine is not AI. It only does what I tell it how to do. I'm pretty happy with the results, but it can't learn a thing. The latest thing I "taught" my Jarvis to do is stream the security camera to the TV with a voice command. Now if I only had time to look into how to tell it to stop...

dmcginty 10y ago
That being said, I don't think the ability to learn and adapt. This is entirely a statement on semantics, but if I made a tic-tac-toe playing program that had every possible game state pre-programmed in, I would not hesitate to call it a game playing AI even though it lacks the ability to learn.
- kyrias 10y ago
  That would just follow a singular simple algorithm, not really intelligence in any sense.
  - bmh100 10y ago
    In the general programming industry over the last several decades, "artificial intelligence" has also applied to simple decision-making algorithms, even as simple as playing checkers. Arthur Samuel [1] was renowned for his work on a checkers AI circa 1959. [1]: http://webdocs.cs.ualberta.ca/~sutton/book/11/node3.html http://webdocs.cs.ualberta.ca/~sutton/book/11/node3.html
    - shard 10y ago
      As a follow-on to the above comment, in AI there is something called expert systems, which is just a set of IF-THEN rules which emulate the reasoning of a human expert: https://en.wikipedia.org/wiki/Expert_system https://en.wikipedia.org/wiki/Expert_system Learning/inferencing/adaptation not included or required.
    - Whitestrake 10y ago
      This is something I like about AI in the context of video games; the technology has improved, the complexity has increased, but the meaning of AI in this context has stayed constant. The same can't really be said of AI in most other contexts, where the goalposts continually seem to move to whatever is currently just beyond our reach.

dmcginty 10y ago

That being said, I don't think the ability to learn and adapt. This is entirely a statement on semantics, but if I made a tic-tac-toe playing program that had every possible game state pre-programmed in, I would not hesitate to call it a game playing AI even though it lacks the ability to learn.

kyrias 10y ago
That would just follow a singular simple algorithm, not really intelligence in any sense.
- bmh100 10y ago
  In the general programming industry over the last several decades, "artificial intelligence" has also applied to simple decision-making algorithms, even as simple as playing checkers. Arthur Samuel [1] was renowned for his work on a checkers AI circa 1959. [1]: http://webdocs.cs.ualberta.ca/~sutton/book/11/node3.html http://webdocs.cs.ualberta.ca/~sutton/book/11/node3.html
  - shard 10y ago
    As a follow-on to the above comment, in AI there is something called expert systems, which is just a set of IF-THEN rules which emulate the reasoning of a human expert: https://en.wikipedia.org/wiki/Expert_system https://en.wikipedia.org/wiki/Expert_system Learning/inferencing/adaptation not included or required.
  - Whitestrake 10y ago
    This is something I like about AI in the context of video games; the technology has improved, the complexity has increased, but the meaning of AI in this context has stayed constant. The same can't really be said of AI in most other contexts, where the goalposts continually seem to move to whatever is currently just beyond our reach.