5 ms·

Depends on what you mean by AI. It's not a single area of study.

by jey 18y ago

bd 18y ago
Exactly. Additionally, the AI label is changing its meaning over the time. My AI professors used to tell semi-jokingly that whenever we get computers to solve some task we thought required intelligence (thus we produced AI), the "intelligence" part of the AI gets redefined to exclude this particular solved topic (e.g. chess). We humans need to feel we are special. Keeping this in mind, AI in the narrow sense is stagnating, AI in the broad sense is growing. You could see "AI field" as a kind of incubator: cool stuff that works gets splintered into own subfields (computer vision, robotics, machine learning, neural networks, fuzzy systems, evolutionary algorithms etc). ---- Also, Wikipedia seems to have quite nice overview of the history of AI: http://en.wikipedia.org/wiki/History_of_artificial_intelligence http://en.wikipedia.org/wiki/History_of_artificial_intellige...
blogimus 18y ago
Somewhere I heard a saying that goes something like "AI is machine intelligence we don't quite understand. Once you've figured it out, it is no longer AI, it is an algorithm."
- endtime 18y ago
  I don't find that especially convincing - there is no machine intelligence we don't understand, since we have created all of it. I would say that AI includes a few classes of algorithms related to solving certain types of problems (detection, planning, concept abstraction), or perhaps related to certain techniques for solving problems (heuristic search, ML, vision, etc.).
  - blogimus 18y ago
    If your only talking about machine intelligence that we've already created, then of course we already understand that. I was talking about the concept of machine intelligence and problems that we would like to solve and are trying to solve with machine intelligence, but haven't solved yet. Once we solve a machine intelligence problem, we tend to call it an algorithm or a technique rather than machine intelligence.

Depends on what you mean by AI. It's not a single area of study.

by jey 18y ago

Depends on what you mean by AI. It's not a single area of study.

bd 18y ago

Exactly. Additionally, the AI label is changing its meaning over the time. My AI professors used to tell semi-jokingly that whenever we get computers to solve some task we thought required intelligence (thus we produced AI), the "intelligence" part of the AI gets redefined to exclude this particular solved topic (e.g. chess). We humans need to feel we are special. Keeping this in mind, AI in the narrow sense is stagnating, AI in the broad sense is growing. You could see "AI field" as a kind of incubator: cool stuff that works gets splintered into own subfields (computer vision, robotics, machine learning, neural networks, fuzzy systems, evolutionary algorithms etc). ---- Also, Wikipedia seems to have quite nice overview of the history of AI: http://en.wikipedia.org/wiki/History_of_artificial_intelligence http://en.wikipedia.org/wiki/History_of_artificial_intellige...

blogimus 18y ago

Somewhere I heard a saying that goes something like "AI is machine intelligence we don't quite understand. Once you've figured it out, it is no longer AI, it is an algorithm."

endtime 18y ago
I don't find that especially convincing - there is no machine intelligence we don't understand, since we have created all of it. I would say that AI includes a few classes of algorithms related to solving certain types of problems (detection, planning, concept abstraction), or perhaps related to certain techniques for solving problems (heuristic search, ML, vision, etc.).
- blogimus 18y ago
  If your only talking about machine intelligence that we've already created, then of course we already understand that. I was talking about the concept of machine intelligence and problems that we would like to solve and are trying to solve with machine intelligence, but haven't solved yet. Once we solve a machine intelligence problem, we tend to call it an algorithm or a technique rather than machine intelligence.