TY - GEN
T1 - Using domain knowledge to select solutions in abductive diagnosis
AU - van Harmelen, F.A.H.
AU - ten Teije, A.
N1 - Harmelen, F.A.H. van and A. ten Teije. Using domain knowledge to select solutions in abductive diagnosis. In Proceedings of {ECAI}'94. Pages 652--656. August 1994.
PY - 1994
Y1 - 1994
N2 - This paper presents a novel extension to abductive reasoning in causal nets, namely the use of domain knowledge to select among alternative diagnoses. We describe how preferences among multiple causes of a given state can be expressed in terms of causal nets, and how these preferences can be used to select among alternative diagnoses. We investigate this new extension by proving a number of properties, and show how our preference scheme interacts with conventional ways of choosing among competing diagnoses. Our extension increases the expressive power of causal nets, enjoys a number of desirable properties, and compares favourably with existing proposals for expressing preferential knowledge in causal nets.
AB - This paper presents a novel extension to abductive reasoning in causal nets, namely the use of domain knowledge to select among alternative diagnoses. We describe how preferences among multiple causes of a given state can be expressed in terms of causal nets, and how these preferences can be used to select among alternative diagnoses. We investigate this new extension by proving a number of properties, and show how our preference scheme interacts with conventional ways of choosing among competing diagnoses. Our extension increases the expressive power of causal nets, enjoys a number of desirable properties, and compares favourably with existing proposals for expressing preferential knowledge in causal nets.
M3 - Conference contribution
SP - 652
EP - 656
BT - Proceedings of {ECAI}'94
ER -