Abstract
In the artificial intelligence and decision making communities, there seems to be agreement on the calculations used in most problems that are solved using 'higher-order uncertainty', but disagreement on the terminology used. The purpose here is to show that these problems can be modeled using traditional first-order beliefs, and that, when they are modeled this way, the calculations are the same as the 'higher-order' calculations. The disagreements arise because researchers rephrase first-order beliefs in various guises of higher-order uncertainty. I argue that we should stay with the traditional first-order formulations of the problems.
Original language | English (US) |
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Pages (from-to) | 294-302 |
Number of pages | 9 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. |
Volume | 26 |
Issue number | 3 |
DOIs | |
State | Published - 1996 |
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering