Claude Shannon

The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point.

Information is a measure of one's freedom of choice when one selects a message.

The capacity of a noisy channel is the maximum rate at which information can be transmitted over it with arbitrarily small probability of error.

It is possible to send information at the rate C through a channel with capacity C and with arbitrarily small probability of error.

The more uncertainty, the more information.

The significant aspect is not the meaning of the individual symbols but the statistical properties of the entire ensemble of messages.

The problem of communication is not to transmit meaning, but to transmit information.

The unit of information is the binary digit.

A good chess player, it seems, is not necessarily a good bridge player.

The problem of constructing a machine to play chess is an ideal one for the study of intellectual processes.

The theory of communication is essentially a statistical theory.

I visualize a time when we will be to robots what dogs are to humans, and I'm rooting for the machines.

I'm interested in anything I can get my hands on.

I've always been interested in things that are a little bit off the beaten track.

I don't have any particular philosophy. I just like to solve problems.

The capacity of a channel is the maximum rate at which information can be transmitted over it.

The less probable the message, the more information it conveys.

Redundancy is not necessarily a bad thing. It can be used to combat noise.

The problem of communication is to reproduce at one point a message selected at another point.

The entropy of a message is a measure of its uncertainty.