Philosophy Dictionary of ArgumentsHome
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| Bounded optimality: Bounded optimality is a concept in decision theory where individuals or agents make choices that are satisfactory or "good enough" rather than seeking the absolute best outcome due to limited information, resources, or cognitive capacity. See also Decision theory._____________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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Tom Griffiths on Bounded Optimality - Dictionary of Arguments
Brockman I 131 Bounded optimality/Griffiths: You trade off the time you spend looking with the difference it makes in the quality of the outcome. Bounded optimality bridges the gap between rationality and heuristics. By describing behavior as the result of a rational choice about how much to think, it provides a generalizable theory - that is, one that can be applied in new situations. Sometimes the simple strategies that have been identified as heuristics that people follow turn out to be bounded-optimal solutions. So rather than condemning the heuristics that people use as irrational, we can think of them as a rational response to constraints on computation. >Decision theory/Griffiths, >Reinforcement Learning/Griffiths, >Artificial Intelligence/Griffiths, >Superintelligence/Griffiths. Griffiths, Tom, “The Artificial Use of Human Beings” 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. |
Griffiths, Tom Brockman I John Brockman Possible Minds: Twenty-Five Ways of Looking at AI New York 2019 |
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> Counter arguments against Griffiths
> Counter arguments in relation to Bounded Optimality
Ed. Martin Schulz, access date 2024-04-27