Artificial intelligence: Difference between revisions

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[[File:John McCarthy Stanford.jpg|thumb|[[Wikipedia:John McCarthy|John McCarthy]] (1927-2011)]]
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[[File:Marvin Minsky at OLPCb.jpg|thumb|[[w:Marvin Minsky|Marvin Minsky]] (1927-2016)]]
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[[File:Raymond Kurzweil Fantastic Voyage.jpg|thumb|[[w:Raymond Kurzweil|Raymond "Ray" Kurzweil]] (2006)]]
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Revision as of 15:40, 29 August 2021

And such a brain that shall think accurately,
Will henceforth also make a thinker

Johann Wolfgang von Goethe, Faust II, Laboratory
Statue of Alan Turing (1912-1954) at the University of Surrey
Thomas Hobbes (1588-1679)
Julien Offray de La Mettrie (1709-1751)
Samuel Butler (1835-1902)
Norbert Wiener (1894-1964)
John McCarthy (1927-2011)
Marvin Minsky (1927-2016)
Portrait of Herbert A. Simon (1916-2001) by Richard Rappaport
Raymond "Ray" Kurzweil (2006)

Artificial intelligence (AI) is a branch of computer science that aims to automate intelligence by means of computers. Particularly in the field of cognitive intelligence (e.g. speech and text recognition, object recognition, autonomous driving), great progress has been made in recent years.

History

The term "algorithm" is named after the polymath al-Khwarizmi ("the native of Khwarazm", Latin: Algorismi; * around 780; † between 835 (?) and 850), who came from Khwarazm in Iran and worked and taught in the House of Wisdom in Baghdad during the heyday of the Abbasids. An algorithm is a "systematic, logical rule or procedure consisting of a finite number of well-defined individual steps that leads to the solution of a given problem"[1]. These can be rules of all kinds, for example rules of calculation, recipes (including cooking recipes), laws and regulations, etc. They can be formulated unambiguously in human language and implemented in computer programs in a strictly formalised way. In the early phase of AI, attempts were made to emulate human intelligence by means of corresponding algorithms.

Thomas Hobbes (1588-1679) already advocated an early version of computationalism, according to which man's rational mind is based on computational processes:

„By RATIOCINATION, I mean computation. Now to compute, is either to collect the sum of many things that are added together, or to know what remains when one thing ist taken out of anaother. Ratiocination, therefore, is the same with addition and subtraction; and if any man add multiplication and division, I will not be against it, seeing multiplication is nothing but addition of equals one to another, and division nothing but a subtraction of equals one from another, as often as is possible. So that all ratiocination is comprehended in these two operations of the mind, addition and subtraction.“

– The English works of Thomas Hobbes of Malmesbury Vol. I, p. 3 archive.org

The possibility of automating or mechanically reproducing human intelligence had already been considered by Julien Offray de La Mettrie (1709-1751) in his major work L'Homme Machine, published anonymously in 1748.

„In de la Mettrie's Man, a Machine, a world conception appears that is so overwhelmed by the picture of nature that it can admit only nature as valid. What occurs in the self-consciousness must, therefore, be thought of in about the same way as a mirror picture that we compare with the mirror. The physical organism would be compared with the mirror, the self-consciousness with the picture. The latter has, apart from the former, no independent significance. In Man, a Machine, we read:

'If, however, all qualities of the soul depend so much on the specific organization of the brain and the body as a whole that they obviously are only this organization itself, then, in this case, we have to deal with a very enlightened machine. . . . ‘Soul,’ therefore, is only a meaningless expression of which one has no idea (thought picture), and that a clear head may only use in order to indicate by it the part in us that thinks. Just assume the simplest principle of motion and the animated bodies have everything they need in order to move, feel, repeat, in short, everything necessary to find their way in the physical and moral world. . . . If whatever thinks in my brain is not a part of this inner organ, why should my blood become heated when I make the plan for my works or pursue an abstract line of thought, calmly resting on my bed?' (Compare de la Mettrie, Der Mensch eine Maschine, Philosophische Bibliothek, Vol. 68.)“ (Lit.:GA 18, p. 121f)

Laplace's demon, which Pierre-Simon Laplace designed as a thought model and was later named after him, and which is based on the idea that the entire universe, including human intelligence, resembles a giant clockwork, also points in this direction.

As early as 1948, Norbert Wiener (1894-1964), who coined the term cybernetics, had already suggested:

„The mechanical brain does not secrete thought "as the liver does bile," as the earlier materialists claimed, nor does it put it out in the form of energy, as the muscle puts out its activity. Information is information, not matter or energy. No materialism which does not admit this can survive at the present day.“

– Norbert Wiener: Cybernetics (1948), p. 132[2]

The term "artificial intelligence" was first used in 1955 by the logician and computer scientist John McCarthy (1927-2011) in his grant proposal[3] for the six-week Dartmouth Summer Research Project on Artificial Intelligence, which he organised and began on 13 July 1956 at Dartmouth College in Hanover. Marvin Minsky, Nathan Rochester and Claude Shannon, among others, also took part in this conference. The Dartmouth Conference has since been regarded as the founding event of research in the field of AI.

Based on the work of Alan Turing (1912-1954), including the essay "Computing machinery and intelligence", Allen Newell (1927-1992) and Herbert A. Simon (1916-2001) from Carnegie Mellon University in Pittsburgh formulated the "Physical Symbol System Hypothesis", according to which thinking is information processing, and information processing is a computing process, a manipulation of symbols. Thinking does not depend on the brain as such: "Intelligence is mind implemented by any patternable kind of matter."

This view that intelligence is independent of the carrier substance is shared by the proponents of the strong AI thesis. For Marvin Minsky (1927-2016) of the Massachusetts Institute of Technology (MIT), one of the pioneers of AI, "the goal of AI is to overcome death". In his book Mind Children, the robotics specialist Hans Moravec (* 1948) from Carnegie Mellon University describes the scenario of the evolution of post-biological life: a robot transfers the knowledge stored in the human brain to a computer, so that the biomass of the brain becomes superfluous and a posthuman age begins in which the stored knowledge remains accessible for as long as desired. With the detailed memory of everything humans have ever thought, our "brainchildren" with their superior intelligence would then face greater challenges in the vastness of the universe:

„What awaits is not oblivion but rather a future which, from our present vantage point, is best described by the words "postbiological" or even "supernatural." It is a world in which the human race has been swept away by the tide of cultural change, usurped by its own artificial progeny. The ultimate consequences are unknown, though many intermediate steps are not only predictable but have alread been taken. Today, our machines are still simple creations, requiring the parental care and hovering attention of any newborn, hardly worthy of the word "intelligent." But within the next century they will mature into entities as complex as ourselves, and eventually into something transcending everything we know - in whom we can take pride when they refer to themselves as our descendants. Unleashed from the plodding pace of biological evolution, the children of our minds will be free to grow to confront immense and fundamental challenges in the larger universe. We humans will benefit for a time from their labors, but sooner or later, like natural children, they will seek their own fortunes while we, their aged parents, silently fade away. Very little need be lost in this passing of the torch - it will be in our artificial offspring's power, and to their benefit, to remember almost everything about us, even, perhaps, the detailed working of individual human minds.“

– Hans Moravec: Mind Children. The Future of Robot and Human Intelligence, p. 1

The AI pioneer Raymond Kurzweil (* 1948), head of technical development at Google since 2012, expects that in 2029 a computer will pass the so-called Turing Test for the first time and that artificial intelligence will reach human levels and soon surpass them. The possibility of such a superintelligence and an associated "intelligence explosion" was first speculated about in 1965 by the British mathematician and cryptologist Irving John Good (1916-2009), who had worked under the direction of Alan Turing on decoding the radio traffic of the German navy:

„Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an „intelligence explosion“, and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.“

– Irving John Good: Speculations Concerning the First Ultraintelligent Machine online

Literature
References to the work of Rudolf Steiner follow Rudolf Steiner's Collected Works (CW or GA), Rudolf Steiner Verlag, Dornach/Switzerland, unless otherwise stated.
Email: verlag@steinerverlag.com URL: www.steinerverlag.com.
Index to the Complete Works of Rudolf Steiner - Aelzina Books
A complete list by Volume Number and a full list of known English translations you may also find at Rudolf Steiner's Collected Works
Rudolf Steiner Archive - The largest online collection of Rudolf Steiner's books, lectures and articles in English.
Rudolf Steiner Audio - Recorded and Read by Dale Brunsvold
steinerbooks.org - Anthroposophic Press Inc. (USA)
Rudolf Steiner Handbook - Christian Karl's proven standard work for orientation in Rudolf Steiner's Collected Works for free download as PDF.

References

  1. ↑ Werner Stangl: Algorithmus. In: lexikon.stangl.eu. Retrieved 4 December 2017.
  2. ↑ Norbert Wiener: Cybernetics or Control and Communication in the Animal and the Machine, MIT Press 1948, p. 132
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