John Searle Quotes

Nobody phrases it this way, but I think that artificial intelligence is almost a humanities discipline. It's really an attempt to understand human intelligence and human cognition.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.

My car and my adding machine understand nothing: they are not in that line of business.

Early AI was mainly based on logic. You're trying to make computers that reason like people. The second route is from biology: You're trying to make computers that can perceive and act and adapt like animals.

When I was building robots in the early 1990s, the problems of voice recognition, image understanding, VOIP, even touchscreen technologies - these were robotics problems.

The computing world is very good at things that we are not. It is very good at memory.

I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

I will argue that in the literal sense the programmed computer understands what the car and the adding machine understand, namely, exactly nothing.

We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.

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.

I don't think there's anything unique about human intelligence.

One of the best things to come out of the home computer revolution could be the general and widespread understanding of how severely limited logic really is.

Robots have already surpassed human beings in calculation and memory, but I have no doubt that the time will come when they will surpass in wisdom as well.

I definitely fall into the camp of thinking of AI as augmenting human capability and capacity.

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

You could claim that moving from pixelated perception, where the robot looks at sensor data, to understanding and predicting the environment is a Holy Grail of artificial intelligence.

We're making progress, but getting machines to replicate our ability to perceive and manipulate the world remains incredibly hard.

Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.

One of the interesting applications of symbolic systems is artificial intelligence, and I spent some time thinking about how to create a brain that operates the way ours does.

Artificial intelligence... I've been following that since I was in high school.

Human players have their strengths and weaknesses and Watson is the same way. He just has different strengths and weaknesses than most people.

The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.

I became interested in AI in high school because I read 'Goedel, Escher, Bach,' a book by Douglas Hofstader. He showed how all their work in some ways fit together, and he talked about artificial intelligence. I thought 'Wow, this is what I want to be doing.'

Artificial intelligence is the science of making machines do things that would require intelligence if done by men.

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