Philosophy Dictionary of ArgumentsHome
| |||
|
| |||
| Emergence: Emergence in science is the phenomenon of new properties or behaviors arising from the interaction of simpler components. It is often seen in complex systems, such as the human brain, the immune system, and ecosystems. See also Complexity, Properties, Systems, Levels, Description levels._____________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 |
|---|---|---|---|
|
Frank Wilczek on Emergence - Dictionary of Arguments
Brockman I 68 Emergence/Wilczek: Electronic computers are a magnificent example of emergence. Here, all the cards are on the table. Engineers routinely design, from the bottom up, based on known (and quite sophisticated) Brockman I 69 physical principles, machines that process information in extremely impressive ways. (…) wonderful capabilities emerge from regular physical processes, which we can trace down to the level of electrons, photons, quarks, and gluons. Evidently, brute matter can get pretty smart. >Intelligence, >Artificial intelligence, >Artificial consciousness, >Mind, >Thinking, >Materialism. Wilczek, F. “The Unity of Intelligence”, 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. |
Wilczek, Frank Brockman I John Brockman Possible Minds: Twenty-Five Ways of Looking at AI New York 2019 |
||
Ed. Martin Schulz, access date 2024-04-20