Plausible reasoning from spatial observations

01/10/2013
by   Jerome Lang, et al.
0

This article deals with plausible reasoning from incomplete knowledge about large-scale spatial properties. The availableinformation, consisting of a set of pointwise observations,is extrapolated to neighbour points. We make use of belief functions to represent the influence of the knowledge at a given point to another point; the quantitative strength of this influence decreases when the distance between both points increases. These influences arethen aggregated using a variant of Dempster's rule of combination which takes into account the relative dependence between observations.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset