“A neural network is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects:
1. Knowledge is acquired by the network through a learning process.
2. Interneuron connection strengths known as synaptic weights are used to store the [[knowledge].”

— Igor Aleksander

As cited in: Brian D. Ripley (2008) Pattern Recognition and Neural Networks. p.4
An introduction to neural computing (1990)

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Igor Aleksander9

scientist 1937

Igor Aleksander (1937) scientist

Source: An introduction to neural computing (1990), p.1

“Neural computing is the study of cellular networks that have a natural property for storing experimental knowledge. Such systems bear a resemblance to the brain in the sense that knowledge is acquired through training rather than programming and is retained due to changes in node functions. The knowledge takes the form of stable states or cycles of states in the operation of the et. A central property of such nets is to recall these states or cycles in response to the presentation of cues.”

Igor Aleksander (1937) scientist

Aleksander & Morton (1989) Neural computing architectures: the design of brain-like machines. p.2 as cited in: M.A. Lovell et al. (1997) Developments in petrophysics. p.169

“There are three principal means of acquiring knowledge available to us: observation of nature, reflection, and experimentation.”

Denis Diderot (1713–1784) French Enlightenment philosopher and encyclopædist

No. 15
On the Interpretation of Nature (1753)
Context: There are three principal means of acquiring knowledge available to us: observation of nature, reflection, and experimentation. Observation collects facts; reflection combines them; experimentation verifies the result of that combination. Our observation of nature must be diligent, our reflection profound, and our experiments exact. We rarely see these three means combined; and for this reason, creative geniuses are not common.

“It is not the amount of knowledge that makes a brain. It is not even the distribution of knowledge. It is the interconnectedness.”

James Gleick book The Information: A History, a Theory, a Flood

Source: The Information: A History, a Theory, a Flood

“There is no use of simply acquiring titles or amassing wealth if one has no self-respect and scientific knowledge.”

Periyar E. V. Ramasamy (1879–1973) Tamil politician and social reformer

Quoted in “Collected works of Periyar E.V.R.” p. 511.
Society

“The social distribution of knowledge thus begins with the simple fact that I do not know everything known to my fellowmen, and vice versa, and culminates in exceedingly complex and esoteric systems of expertise. Knowledge of how the socially available stock of knowledge is distributed, at least in outline, is an important element of that same stock of knowledge.”

Peter L. Berger book The Social Construction of Reality

Source: The Social Construction of Reality, 1966, p. 46

“Brains are in; heavy lifting is out. That's the essential nature of the new knowledge-based economy. Therefore, the development of knowledge is close to job No. 1 for corporations.”

Tom Peters (1942) American writer on business management practices

Source: Tom Peters Daily, Weekly Quote
08 November 2021

“For the mercantilization of knowledge is bound to affect the privilege the nation-states have enjoyed, and still enjoy, with respect to the production and distribution of learning. The notion that learning falls within the purview of the State, as the brain or mind of society, will become more and more outdated with increasing strength of the opposing principle.”

Jean-François Lyotard (1924–1998) French philosopher

Source: The Postmodern Condition: A Report on Knowledge (1977), P.5

“I want my organic brain to contain vast stores of knowledge and my silicon overmind to contain a stupidly huge amount more.”

Clive Thompson (journalist)

"Your Outboard Brain Knows All", Wired, 25 September 2007

“We must be careful, however, not to let the process of acquiring new ideas interfere with the detailed knowledge that our vehicle has assiduously collected and carefully stored in many associative connections during its lifetime. We know that this may happen in humans who are overly dedicated to the development of ideas. They tend to connect many individual cases into general categories ad then use the categories as if they were things, losing the potential for categorizing in other ways by remembering each instance.”

Valentino Braitenberg (1926–2011) Italian-Austrian neuroscientist

Source: Vehicles: Experiments in Synthetic Psychology (1984), p. 52 as cited in: Vehicles – Valentino Braitenberg, 1984 http://problemboard.com/bio/?p=5 at problemboard.com, 2013

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