Psychology Dictionary of ArgumentsHome | |||
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Knowledge: Knowledge is the awareness or understanding of something. It can be acquired through experience, or education. Knowledge can be factual, procedural, or conceptual. See also Propositional knowledge, Knowledge how._____________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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Steven Pinker on Knowledge - Dictionary of Arguments
Brockman I 102 Knowledge/Pinker: Knowledge can be explained as patterns in matter or energy that stand in systematic relations with states of the world, with mathematical and logical truths, and with one another. Brockman I 109 Omniscience/Pinker: Knowledge is acquired by formulating explanations and testing them against reality, not by running an algorithm faster and faster. Devouring the information on the Internet will not confer omniscience either: Big Data is still finite data, and the universe of knowledge is infinite. >Artificial intelligence/Pinker, >Omniscience/Pinker, >Big Data. Pinker, S. “Tech Prophecy and the Underappreciated Causal Power of Ideas” 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. |
Pi I St. Pinker How the Mind Works, New York 1997 German Edition: Wie das Denken im Kopf entsteht München 1998 Brockman I John Brockman Possible Minds: Twenty-Five Ways of Looking at AI New York 2019 |