Expert Systems Quotes

For the blue-collar worker, the driving force behind change was factory automation using programmable machine tools. For the office worker, it's office automation using computer technology: enterprise-resource-planning systems, groupware, intranets, extranets, expert systems, the Web, and e-commerce.

There are three basic approaches to AI: Case-based, rule-based, and connectionist reasoning.

There's a long history of artificial intelligence programs that try to mimic what the brain is doing, but they've all fallen short.

Artificial Intelligence (AI) is the science of how to get machines to do the things they do in the movies.

Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.

Many researchers are exploring other forms of AI, some of which have proved useful in limited contexts; there may well be a breakthrough that makes higher levels of intelligence possible, but there is still no clear path yet to this goal.

Twenty-five years ago, the notion was you could create a general problem-solver software that could solve problems in many different domains. That just turned out to be totally wrong.

The deep learning techniques, while relatively easy to learn, are quite foreign to traditional engineering modalities. It takes a different mindset and a relaxation of the presumption of control. The practitioners are like magi, sequestered from the rest of a typical engineering process.

The whole concept of data science is that the software becomes the expert, and you, as the average user, are able to understand what's going on.

To make real progress in A.I., we have to overcome the big challenges in the area of common sense.

Interactive computers and software will, I think, provide a less costly method of doing some kinds of inquiry, in knowledge acquisition and even reasoning and interaction.

A well-designed and humane interface does not have to be split into beginner and expert subsystems.

I believed in realism, as summarized by John McCarthy's comment to the effect that if we worked really hard, we'd have an intelligent system in from four to four hundred years.

Brains are like representative democracies. They are built of multiple, overlapping experts who weigh in and compete over different choices.

It would help if human experts agreed on the meaning of such basic terms as intelligence, consciousness, or awareness. They don't. It's hard to build something that's incompletely defined.

If it were a fact, it wouldn't be called intelligence.

The degree of intelligence that a man or a machine can show depends on many qualities of the ways that knowledge, goals, and problem-solving techniques are represented and put together, and not so much on the fine details.

I think Lenat is headed in the right direction, but someone needs to include a knowledge base about learning.