Herbert Simon Quotes (27 Quotes)

Learning is any change in a system that produces a more or less permanent change in its capacity for adapting to its environment.

The proper study of mankind is the science of design.

I don't care how big and fast computers are, they're not as big and fast as the world.

What a person cannot do he will not do, no matter how much he wants to do it. Normative economics has shown that exact solutions to the larger optimization problems of the real world are simply not within reach or sight. ... the behavior of an artificial system may be strongly influenced by the limits of its adaptive capacities.

The social sciences, I thought, needed the same kind of rigor and the same mathematical underpinnings that had made the "hard" sciences so brilliantly successful.

I started off thinking that maybe the social sciences ought to have the kinds of mathematics that the natural sciences had. That works a little bit in economics because they talk about costs, prices and quantities of goods. But it doesn't work a darn for the other social sciences you lose most of the content when you translate them to numbers.

Anything that gives us new knowledge gives us an opportunity to be more rational.

No one has characterized market mechanisms better than Friedrich von Hayek.

What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.

Engineering, medicine, business, architecture and painting are concerned not with the necessary but with the contingent - not with how things are but with how they might be - in short, with design.

The world is vast, beautiful, and fascinating, even awe-inspiring - but impersonal. It demands nothing of me, and allows me to demand nothing of it.

There are no morals about technology at all. Technology expands our ways of thinking about things, expands our ways of doing things. If we're bad people we use technology for bad purposes and if we're good people we use it for good purposes.

The simplest scheme of evolution is one that depends on two processes a generator and a test. The task of the generator is to produce variety, new forms that have not existed previously, whereas the task of the test is to cull out the newly generated forms so that only those that are well fitted to the environment will survive.

The engineer, and more generally the designer, is concerned with how things ought to be - how they ought to be in order to attain goals, and to function.

Most of us really aren't horribly unique. There are 6 billion of us. Put 'em all in one room and very few would stand out as individuals. So maybe we ought to think of worth in terms of our ability to get along as a part of nature, rather than being the lords over nature.

By 1985, machines will be capable of doing any work Man can do.

Human knowledge has been changing from the word go and people in certain respects behave more rationally than they did when they didn't have it. They spend less time doing rain dances and more time seeding clouds.

Forget about Nobel prizes; they aren't really very important.

Behaving like a manager means having command of the whole range of management skills and applying them as they become appropriate.

One of the first rules of science is if somebody delivers a secret weapon to you, you better use it.

All correct reasoning is a grand system of tautologies, but only God can make direct use of that fact.

Technology may create a condition, but the questions are what do we do about ourselves. We better understand ourselves pretty clearly and we better find ways to like ourselves.

Everyone designs who devises courses of action aimed at changing existing situations into preferred ones.

Maybe we ought to have a world in which things are divided between people kind of fairly.

Human beings, viewed as behaving systems, are quite simple. The apparent complexity of our behavior over time is largely a reflection of the complexity of the environment in which we find ourselves.

In the computer field, the moment of truth is a running program; all else is prophecy.

One finds limits by pushing them.