Top 15 Herbert Simon Quotes

A wealth of information creates a poverty of attention.

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 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.

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.

[Even Darwin’s] natural selection only predicts that survivors will be fit enough, that is, fitter than their losing competitors; it postulates satisficing, not optimizing.

In view of the dramatic effects that alternative representations may produce on search and recognition processes, it may seem surprising that the differential effects on inference appear less strong. Inference is largely independent of representation if the information content of the two sets of inference rules [one operating on diagrams and the other operating on verbal statements] is equivalent—i.e. the two sets are isomorphs as they are in our examples

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.

If we want a theory explaining how people play billiards, we do not want a theory of perfect billiard balls; we want a theory of what heuristics a human billiard player uses in order to plan and make a (often not quite accurate) shot. These heuristics and actions do not involve solving the differential equations of the billiard board; they involve rules of thumb and it is these practice guides to action we are trying to discover in order to explain the behavior.

Global rationality, the rationality of neoclassical theory, assumes that the decision maker has a comprehensive, consistent utility function, knows all the alternatives that are available for choice, can compute the expected value of utility associated with each alternative, and chooses the alternative that maximizes expected utility. Bounded rationality, a rationality that is consistent with our knowledge of actual human choice behavior, assumes that the decision maker must search for alternatives, has egregiously incomplete and inaccurate knowledge about the consequences of actions, and chooses actions that are expected to be satisfactory (attain targets while satisfying constraints).

Organizations are systems of coordinated action among individuals and groups whose preferences, information, interests, or knowledge differ. Organization theories describe the delicate conversion of conflict into cooperation, the mobilization of resources, and the coordination of effort that facilitate the joint survival of an organization and its members.

First, most producers are employees of firms, not owners. Viewed from the vantage point of classical [economic] theory, they have no reason to maximize the profits of firms, except to the extent that they can be controlled by owners. Moreover, profit-making firms, nonprofit organizations, and bureaucratic organizations all have exactly the same problem of inducing their employees to work toward organizational goals. There is no reason, a priori, why it should be easier (or harder) to produce this motivation in organizations aimed at maximizing profits than in organizations with different goals. If it is true in an organizational economy that organizations motivated by profits will be more efficient than other organizations, additional postulates will have to be introduced to account for it.

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.

If we accept values as given and consistent, if we postulate an objective description of the world as it really is, and if we assume that the decision maker's computational powers are unlimited, then two important consequences follow. First, we do not need to distinguish between the real world and the decision maker's perception of it: he or she perceives the world as it really is. Second, we can predict the choices that will be made by a rational decision maker entirely from our knowledge of the real world and without a knowledge of the decision maker's perceptions or modes of calculation. (We do, of course, have to know his or her utility function.)

We need to augment and amend the existing body of classical and neoclassical economic theory to achieve a more realistic picture of economic process.

In Administrative Behavior, bounded rationality is largely characterized as a residual category — rationality is bounded when it falls short of omniscience. And the failures of omniscience are largely failures of knowing all the alternatives, uncertainty about relevant exogenous events, and inability to calculate consequences. There was needed a more positive and formal characterization of the mechanisms of choice under conditions of bounded rationality... Two concepts are central to the characterization: search and satisficing.