| Article ID: | iaor20014136 |
| Country: | United Kingdom |
| Volume: | 9 |
| Issue: | 6 |
| Start Page Number: | 243 |
| End Page Number: | 262 |
| Publication Date: | Nov 2000 |
| Journal: | Journal of Multi-Criteria Decision Analysis |
| Authors: | Buede Dennis M., Costa Paulo C.G. Da |
| Keywords: | decision theory: multiple criteria |
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 and dynamic decision networks, while arguing which is the most suitable for this problem domain.