John McCarthy

The study of artificial intelligence is the study of how to make computers do things at which, at the moment, people are better.

Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.

LISP is a programming language for symbolic computation.

The main idea of LISP is to represent information as symbolic expressions.

LISP is an attempt to create an algebraic list processing language for the IBM 704 computer.

AI is concerned with the problem of making computers behave intelligently.

The ultimate goal of AI is to make machines that can think.

Common sense knowledge is the most difficult problem in AI.

Circumscription is a rule of conjecture that can be used to jump to conclusions.

The frame problem is the problem of representing what does not change in a dynamic world.

The ability to learn from experience is a crucial aspect of intelligence.

AI is not just about making computers do what people do, but about making them do things that are useful.

The computer revolution is a revolution in the way we think and in the way we use our intelligence.

The ultimate test of an AI system is whether it can pass the Turing test.

AI is the science of making machines intelligent, and intelligence is the computational part of the ability to achieve goals in the world.

The goal of AI is to understand the mechanisms of intelligence and to build machines that exhibit them.

LISP is a language for manipulating symbolic expressions, which are the natural representation for knowledge in AI.

The main difficulty in AI is not in writing programs that can solve specific problems, but in writing programs that can learn and adapt to new situations.

The future of AI lies in developing systems that can reason about common sense knowledge.

AI is a field that is constantly evolving, and there are always new challenges to overcome.