In artificial intelligence, sequential decision making refers to algorithms that take the dynamics[clarification needed] of the world into consideration,[1] thus delaying parts of the problem until it must be solved[clarification needed]. 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]
^Frankish, Keith; Ramsey, William M., eds. (2014). The Cambridge handbook of artificial intelligence. Frankish, Keith., Ramsey, William M., 1960-. Cambridge, UK: Cambridge University Press. p. 337. ISBN 9780521871426. OCLC 865297798.
^Amir, Eyal (2014). "Reasoning and decision making". In Frankish, Keith; Ramsey, William M. (eds.). The Cambridge handbook of artificial intelligence. Frankish, Keith., Ramsey, William M., 1960-. Cambridge, UK: Cambridge University Press. pp. 191–212. ISBN 9780521871426. OCLC 865297798.
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