HIERARCHICAL CAUSAL PARAMETER ABDUCTION IN INTEGRATED/HYBRID LOGIC NETS

Hybrid logic nets contain nodes that exhibit recurrent characteristics, in that a node output shows temporal tendencies even when the inputs are constant. Given the behaviour trajectory of such a node it is required to abduct the values of the causal parameters. A new causal parameter estimation algorithm is given for abducting knowledge embedded within recurrent nodes of hybrid/integrated logic networks. The results show the new algorithm to be superior to previous algorithms when two of the causal parameters possess temporal behaviour.