Philosophy Dictionary of Arguments

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Artificial intelligence: is the ability to recognize artificial systems, patterns and redundancies, to complete incomplete sequences, to re-formulate and solve problems, and to estimate probabilities. This is not an automation of human behavior, since such an automation could be a mechanical imitation. Rather, artificial systems are only used by humans to make decisions, when these systems have already made autonomous decisions.
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Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments.

 
Author Concept Summary/Quotes Sources

Neil Gershenfeld on Artificial Intelligence - Dictionary of Arguments

Brockman I 162
Artificial intelligence/Gershenfeld: the cycles [of AI] come in roughly decade-long waves:
1. Mainframes which by their very existence were going to automate away work.
Vs: That ran into the reality that it was hard to write programs to do tasks that were simple for people to do.
2. Then came expert systems, which were going to codify and then replace the knowledge of experts.
Vs: These ran into difficulty in assembling that knowledge and reasoning about cases not already covered.
3. Perceptrons sought to get around these problems by modeling how the brain learns,
Vs: (…) they were unable to do much of anything.
4. Multilayer perceptrons could handle test problems that had tripped up those simpler networks,
Vs: (…) their demonstrations did poorly on unstructured, real-world problems.
5. We’re now in the deep-learning era, which is delivering on many of the early AI promises but in a way that’s considered hard to understand, with consequences ranging from intellectual to existential threats. >Noise/Shannon
, >Noise/Neumann, >Algorithms/Gershenfeld.

Gershenfeld, Neil „Scaling”, in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press.

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Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments
The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.
Gershenfeld, Neil
Brockman I
John Brockman
Possible Minds: Twenty-Five Ways of Looking at AI New York 2019


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Ed. Martin Schulz, access date 2024-04-24
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