Evidential Reasoning: An Implementation For Multisensor Integration
by Lowrance, John D. and Garvey, Thomas D.
Technical Note 307
Institution: AI Center, SRI International
Address: 333 Ravenswood Ave., Menlo Park, CA 94025
Dec 1983.
Reasoning from uncertain, incomplete, and sometimes inaccurate information is necessary whenever any system is to interact in an intelligent way with its environment. This follows directly from the fact that understanding the world is possible only by perceiving it through a set of knowledge sources that provide partially processed sensory information. Because of the limited capabilities of any sensor, the information is inherently ``evidential.’’ That is, perceptual information is not readily captured in terms of simple truths and falsities or in terms of probabilistic estimates, when the appropriate statistical data are lacking. Therefore, neither logical nor standard probabilistic reasoning techniques are uniformly applicable in this context.
 Adobe PDF |
 BibTeX |
 EndNote |
| Name | Title | ||
|---|---|---|---|
| Garvey, Thomas D | Associate Director |  |
|
 |
Lowrance, John D | Program Director | |
