|Learning: learning is acquiring the ability to establish relationships between signs, symptoms or symbols and objects. This also includes e.g. recognition and recollection of patterns, similarities, sensory perceptions, self-perception, etc. In the ideal case, the ability to apply generalizations to future cases is acquired while learning. See also knowledge, knowledge-how, competence._____________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. |
David Deutsch on Learning - Dictionary of Arguments
Brockman I 115
Learning/Deutsch: Any ability based on guessing must include means of correcting one’s guesses, since most guesses will be wrong at first. (There are always many more ways of being wrong than right.) Bayesian updating is inadequate, because it cannot generate novel guesses about the purpose of an action, only fine-tune - or, at best, choose among - existing ones. Creativity is needed. >Thinking/Deutsch, >Knowledge/Popper.
Deutsch, D. “Beyond Reward and Punishment” 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.
Fabric of Reality, Harmondsworth 1997
Die Physik der Welterkenntnis München 2000
Possible Minds: Twenty-Five Ways of Looking at AI New York 2019