If the system exhibits a structure which can be represented by a mathematical equivalent, called a mathematical model, and if the objective can be also so quantified, then some **computational** method may be evolved for choosing the best schedule of actions among alternatives. Such use of mathematical models is termed mathematical programming.

— p.2 (Linear programming and extensions, (1963))

Suppose that the organism is given the problem of determining the analysis of a stimulus at a certain level of representation- e.g., the problem of determining which sequence of words a given utterance encodes. Since, in the general case, transducer outputs underdetermine perceptual analyses, we can think of the solution of such problems as involving processes of nondemonstrative inference. In particular, we can think of each input system as a **computational** mechanism which projects and confirms a certain class of hyputheses on the basis of a certain body of data.

— p. 126, partly cited in: Meredith Williams (2002)

Algorithms are the **computational** content of proofs.

— Robert Harper, Benjamin C. Pierce et al.

One is forced to assume that ordinary people have the **computational** capabilities and statistical software of econometricians.

— Gerd Gigerenzer and Reinhard Selten (2001), in Bounded Rationality. The Adaptive Toolbox, chapters 1 and 2. Cambridge, Massachusetts, quoted in “Bounded Rationality and Macroeconomics”

If (...) we accept the proposition that both the knowledge and the **computational** power of the decision maker are severely limited, then we must distinguish between the real world and the actor’s perception of it and reasoning about it.

— H. Simon (1986), “Rationality in psychology and economics. Journal of Business, p. S211” quoted in

[I]t is particularly encouraging to see the growing number of **computational** studies being conducted at the cellular and molecular levels. Perhaps no where else in neuroscience is the risk of getting lost in the trees and separated from overall brain function as great.

— James M. Bower (1997)

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