Abstract
This article provides a historical and conceptual perspective on the contrast between the Bayesian and belief function approaches to the probabilistic combination of evidence. It emphasizes the simplest example of non‐Bayesian belief‐function combination of evidence, which was developed by Hooper in the 1680s.
Original language | English (US) |
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Pages (from-to) | 155-179 |
Number of pages | 25 |
Journal | International Journal of Intelligent Systems |
Volume | 1 |
Issue number | 3 |
DOIs | |
State | Published - 1986 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Human-Computer Interaction
- Artificial Intelligence