A Computational Model for Causal and Diagnostic Reasoning in Inference Systems
نویسندگان
چکیده
This paper introduces a representat ion of ev iden t i a l re la t ionsh ips which permits updating of be l i e f in two simultaneous modes: causal ( i . e . top-down) and diagnost ic ( i . e . bottom-up). I t extends the h ie ra rch i ca l t ree representat ion by a l lowing mu l t i p l e causes to a given mani fes ta t ion . We develop an updating scheme that obeys the axioms of p r o b a b i l i t y , is computat ional ly e f f i c i e n t , and is compatible wi th experts reasoning. The b e l i e f parameters of each var iab le are defined and updated by those of i t s neighbors in such a way that the impact of each new evidence propagates and se t t l es through the network in a s ing le pass.
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تاریخ انتشار 1983