A Quote by Herbert Simon

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.
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.
To the extent that we honor all aspects of ourselves, we remove revulsion, self-hate, horror, and terror from our lives. As whole human beings we are the creatures of the greatest complexity on this planet. Respect for this complexity includes our insisting on acceptance of the inconsistent and incongruous.
People are very complex. And for a psychologist, you get fascinated by the complexity of human beings, and that is what I have lived with, you know, in my career all of my life, is the complexity of human beings.
In overlooking, denying, evading this complexity--which is nothing more than the disquieting complexity of ourselves--we are diminished and we perish; only within this web of ambiguity, paradox, this hunger, danger, darkness, can we find at once ourselves and the power that will free us from ourselves. It is this power of revelation that is the business of the novelist, this journey toward a more vast reality which must take precedence over other claims.
A second possible approach to general systems theory is through the arrangement of theoretical systems and constructs in a hierarchy of complexity, roughly corresponding to the complexity of the "individuals" of the various empirical fields... leading towards a "system of systems." [...] I suggest below a possible arrangement of "levels" of theoretical discourse...(vi) [...] the "animal" level, characterized by increased mobility, teleological behavior and self-awareness...
The evolutionary vision is agnostic in regard to systems in the universe of greater complexity than those of which human beings have clear knowledge.
Look at yourself as someone who is reaching for healing, and at the complexity of what needs to be healed. Do not think that you exist alone without other human beings of equal complexity.
My take is that the kind of complexity which says we can always generate complexity from simple interactions following for example rules.
Second law: The complexity barrier. Software complexity (and therefore that of bugs) grows to the limits of our ability to manage that complexity.
The fact that all normal children acquire essentially comparable grammars of great complexity with remarkable rapidity suggests that human beings are somehow specially designed to do this, with data-handling or 'hypothesis-formulating' ability of unknown character and complexity.
The general problem with ambitious systems is complexity. [...] it is important to emphasize the value of simplicity and elegance, for complexity has a way of compounding difficulties.
The evolutionary vision is agnostic in regard to systems in the universe of greater complexity than those of which human beings have clear knowledge. It recognizes aesthetic, moral, and religious ideas and experiences as a species, in this case of mental structures or of images, which clearly interacts with other species in the world's great' ecosystem.
When we read of human beings behaving in certain ways, with the approval of the author, who gives his benediction to this behavior by his attitude towards the result of the behavior arranged by himself, we can be influenced towards behaving in the same way.
We should not lose ourselves in vainglorious sohemes for changing human nature all over the planet. Rather, we should learn to view ourselves with a sense of proportion and Christian humility before the enormous complexity of the world in which it has been given us to live.
We academics - I am an academic - we love complexity. You can write papers about complexity, and the nice thing about complexity is it's fundamentally intractable in many ways, so you're not responsible for outcomes.
There is a race between the increasing complexity of the systems we build and our ability to develop intellectual tools for understanding their complexity. If the race is won by our tools, then systems will eventually become easier to use and more reliable. If not, they will continue to become harder to use and less reliable for all but a relatively small set of common tasks. Given how hard thinking is, if those intellectual tools are to succeed, they will have to substitute calculation for thought.
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