W. Ross Ashby: Conception

“During the last few years it has become apparent that the concept of "machine" must be very greatly extended if it is to include the most modern developments. Especially is this true if we are studying the brain and attempting to identify the type of mechanism that is responsible for the brain’s outstanding powers of thought and action. It has become apparent that when we used to doubt whether the brain could be a machine, our doubts were due chieﬂy to the fact that by ‘‘machine’’ we understood some mechanism of very simple type. Familiar with the bicycle and the typewriter, we were in great danger of taking them as the type of all machines. The last decade, however, has corrected this error. It has taught us how restricted our outlook used to be; for it developed mechanisms that far transcended the utmost that had been thought possible, and taught us that ‘‘mechanism’’ was still far from exhausted in its possibilities. Today we know only that the possibilities extend beyond our farthest vision.”

W. Ross Ashby

W. Ross Ashby (1951), "Statistical Machinery". In: Thales Vol 7. p.1 as cited in: Peter M. Asaro (2008) " From Mechanisms of Adaptation to Intelligence Ampliﬁers: The Philosophy of W. Ross Ashby http://cybersophe.org/writing/Asaro%20Ashby.pdf"

Error , Study

“The invasion of psychology by cybernetics is making us realize that the ordinary concepts of psychology must be reformulated in the language of physics if a physical explanation of the ordinary psychological phenomena is to become possible. Some psychological concepts can be re-formulated more or less easily, but others are much more difﬁcult, and the investigator must have a deep insight if the physical reality behind the psychological phenomena is to be perceived”

W. Ross Ashby

W. Ross Ashby, "Review of Analytical Biology, by G. Sommerhoff." In: Journal of Mental Science Vol 98 (1952), p. 88; As cited in Peter M. Asaro (2008)

Reality

“Cybernetics is likely to reveal a great number of interesting and suggestive parallelisms between machine and brain and society. And it can provide the common language by which discoveries in one branch can readily be made use of in the others… [There are] two peculiar scientific virtues of cybernetics that are worth explicit mention. One is that it offers a single vocabulary and a single set of concepts suitable for representing the most diverse types of system… The second peculiar virtue of cybernetics is that it offers a method for the scientific treatment of the system in which complexity is outstanding and too important to be ignored. Such systems are, as we well know, only too common in the biological world!”

W. Ross Ashby

Source: An Introduction to Cybernetics (1956), Part I: Mechanism, p. 4-5

World

“The concept of "variety" [is] inseparable from that of "information."”

W. Ross Ashby

Source: An Introduction to Cybernetics (1956), Part 2: Variety, p. 140

“[T]he concept of “feedback”, so simple and natural in certain elementary cases, becomes artificial and of little use when the interconnexions between the parts become more complex. When there are only two parts joined so that each affects the other, the properties of the feedback give important and useful information about the properties of the whole. But when the parts rise to even as few as four, if every one affects the other three, then twenty circuits can be traced through them; and knowing the properties of all the twenty circuits does not give complete information about the system. Such complex systems cannot be treated as an interlaced set of more or less independent feedback circuits, but only as a whole.
For understanding the general principles of dynamic systems, therefore, the concept of feedback is inadequate in itself. What is important is that complex systems, richly cross-connected internally, have complex behaviours, and that these behaviours can be goal-seeking in complex patterns.”

W. Ross Ashby

Source: An Introduction to Cybernetics (1956), Part I: Mechanism, p. 54 as cited in: Margaret A. Bode (2006) Mind as Machine: A History of Cognitive Science, Volume 1. p.229

Understanding , Nature , Parting