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Dynamic decision making: a comparison of approaches
Author(s) -
Da Costa Paulo C.G.,
Buede Dennis M.
Publication year - 2000
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/1099-1360(200011)9:6<243::aid-mcda281>3.0.co;2-z
Subject(s) - computer science
This paper is concerned with a specific type of problem, namely dynamic decisions, for which most techniques fail to provide adequate solutions. Here, we present two of the most promising optimization techniques, partially observable Markov decision processes (POMDP) and dynamic decision networks (DDN), while arguing which is the most suitable for this problem domain. Copyright © 2000 John Wiley & Sons, Ltd.