murage.pa@PARC-MAXC.ARPA@sri-unix.UUCP (08/02/83)
pinion and some means of drawing the appropriate conclusions from that opinion. We contrast our approach, based on a relatively new mathematical theory of evidence, with those approaches based on Bayesian probability models. We believe that our approach has some significant advantages, particulary its ability to represent and reason from bounded ignorance. Further, we describe how these techniques are implemented by way of a long term memory and a short term memory. This provides for automated reasoning from evidential information at multiple levels of abstraction over time and space. Thursday, August 4, 1983 4:00 p.m. 5M Conference Room 1501 Page Mill Road Palo Alto, CA 94304 NON-HP EMPLOYEES: Welcome! Please come to the lobby on time, so that you may be escorted to the conference room.