Herbert Simon Quotes

Modem mainstream economic theory bravely assumes that people make their decisions in such a way as to maximize their utility. Accepting this assumption enables economics to predict a great deal of behavior (correctly or incorrectly) without ever making empirical studies of human actors.

The true line is not between “hard” natural science and “soft” social sciences, but between precise science limited to highly abstract and simple phenomena in the laboratory and inexact science and technology dealing with complex problems in the real world.

Most of the propositions that make up the body of administrative theory today share, unfortunately, this defect of proverbs. For almost every principle one can find an equally plausible and acceptable contradictory principle.

Since my world picture approximates reality only crudely, I cannot aspire to optimize anything; at most, I can aim at satisficing. Searching for the best can only dissipate scarce cognitive resources; the best is the enemy of the good. (p.361)

The world you perceive is drastically simplified model of the real world.

Before we can establish any immutable 'principles' of administration, we must be able to describe, in words, exactly how an administrative organization looks and exactly how it works.

Computers were within my sphere of attention, but only computers used as number crunchers. In spite of the "giant brain" metaphor, there is little suggestion in this 1950 talk that the most important application of computers might lie in imitating intelligence symbolically, not numerically.

We distinguish diagrammatic from sentential paper-and-pencil representations of information by developing alternative models of information-processing systems that are informationally equivalent and that can be characterized as sentential or diagrammatic. Sentential representations are sequential, like the propositions in a text. Diagrammatic representations are indexed by location in a plane. Diagrammatic representations also typically display information that is only implicit in sentential representations and that therefore has to be computed, sometimes at great cost, to make it explicit for use. We then contrast the computational efficiency of these representations for solving several.illustrative problems in mathematics and physics.

At the time of its initial publication, Public Administration helped to define this field of study and practice by introducing two major new emphases: an orientation toward human behavior and human relations in organizations, and an emphasis on the interaction between administration, politics, and policy. Without neglecting more traditional concerns with organization structure, Simon, Thompson, and Smithburg viewed administration in its behavioral and political contexts. The viewpoints they express still are at the center of public administration's concerns.

Whereas economic man maximizes - selects the best alternative from among all those available to him, his cousin, administrative man, satisfices - looks for a course of action that is satisfactory or "good enough."

A major task in organizing is to determine, first, where the knowledge is located that can provide the various kinds of factual premises that decisions require.

The capacity of the human mind for formulating and solving complex problems is very small compared with the size of the problems whose solution is required for objectively rational behavior in the real world—or even for a reasonable approximation to such objective rationality.

The techniques of the practitioner are usually called 'synthetic'. He designs by organizing known principles and devices into larger systems.

# Rationality requires a complete knowledge and anticipation of the consequences that will follow on each choice. In fact, knowledge of consequences is always fragmentary

We will likely also find that the nature of the problem to be solved will be a principal determinant of the mix. With our growing understanding of the organization of judgmental and intuitive processes, of the specific knowledge that of the specific knowledge that is required to perform particular judgmental tasks, and of the cues that evoke such knowledge in situations in which it is relevant, we have a powerful new tool for improving expert judgment. We can specify the knowledge and the recognition capabilities that experts in a domain need to acquire, and use these specifications for designing appropriate learning procedures.