Philosophy Dictionary of ArgumentsHome | |||
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Strong Artificial Intelligence: Artificial Intelligence (AI) refers to computer systems emulating human-like cognitive functions. Strong AI, or Artificial General Intelligence (AGI), implies a system with human-level intelligence, capable of learning and performing any intellectual task, akin to human capabilities across diverse domains. See also Artificial Intelligence, Artificial General Intelligence, Human-level AI, Artificial consciousness._____________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 |
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Judea Pearl on Strong Artificial Intelligence - Dictionary of Arguments
Brockman I 15 Strong Artificial Intelligence/Pearl: [questions like “What if”] serve as a basis for Strong AI - that is, artificial intelligence that emulates human-level reasoning and competence. To achieve human-level intelligence, learning machines need the guidance of a blueprint of reality, a model—similar to a road map that guides us in driving through an unfamiliar city. >Machine learning/Pearl, >Counterfactuals/Pearl, >Models/Pearl. Pearl, Judea.”The Limitations of Opaque Learning Machines.” 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. |
Pearl, Judea Brockman I John Brockman Possible Minds: Twenty-Five Ways of Looking at AI New York 2019 |