| 词条 | Sequential decision making |
| 释义 |
In artificial intelligence, sequential decision making refers to algorithms that take the dynamics{{clarify|reason=What are the "dynamics" of the environment?|date=February 2019}} of the world into consideration,[1] thus delay parts of the problem until it must be solved{{clarify|reason=It is not clear the connection between taking into account the dynamics the conclusion "thus delay parts of the problem until it must be solved"|date=February 2019}}. It can be described as a procedural approach to decision-making, or as a step by step decision theory. Sequential decision making has as a consequence the intertemporal choice problem, where earlier decisions influences the later available choices.[2] References1. ^{{Cite book|url=https://www.worldcat.org/oclc/865297798|title=The Cambridge handbook of artificial intelligence|last=|first=|publisher=Cambridge University Press|others=Frankish, Keith., Ramsey, William M., 1960-|year=2014|isbn=9780521871426|editor-last=Frankish|editor-first=Keith|location=Cambridge, UK|page=337|pages=|oclc=865297798|editor-last2=Ramsey|editor-first2=William M.}} {{math-stub}}2. ^{{Cite book|url=https://www.worldcat.org/oclc/865297798|title=The Cambridge handbook of artificial intelligence|last=Amir|first=Eyal|publisher=Cambridge University Press|others=Frankish, Keith., Ramsey, William M., 1960-|year=2014|isbn=9780521871426|editor-last=Frankish|editor-first=Keith|location=Cambridge, UK|pages=191–212|chapter=Reasoning and decision making|oclc=865297798|editor-last2=Ramsey|editor-first2=William M.}} 1 : Decision-making |
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