Philosophy Dictionary of ArgumentsHome
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| Algorithms: An algorithm is a step-by-step procedure or set of instructions for solving a problem or performing a task, often used in mathematics, computing, and problem-solving._____________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. | |||
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Neil Gershenfeld on Algorithms - Dictionary of Arguments
Brockman I 165 Algorithms/artificial intelligence/Gershenfeld: If you lose your keys in a room, you can search for them. If you’re not sure which room they’re in, you have to search all the rooms in a building. If you’re not sure which building they’re in, you have to search all the rooms in all the buildings in a city. This is called the curse of dimensionality. The solution to the curse of dimensionality came in using information about the problem to constrain the search. The search algorithms themselves are not new. But when applied to a deep-learning network, they adaptively build up representations of where to search. >Artificial intelligence/Gershenfeld. Gershenfeld, Neil „Scaling”, in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press._____________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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> Counter arguments against Gershenfeld
> Counter arguments in relation to Algorithms
Ed. Martin Schulz, access date 2024-04-20