Fig 1
The full adder example consists of two AND gates, one OR gate, and two XOR gates. Variables x, z, s, and c are observed as indicated.
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An important class of algorithms for constraint optimization searches for solutions guided by a heuristic evaluation function (bound) that can be computed using tree decomposition and dynamic program-ming. Recently, it has been shown that if only a few best solutions are needed, the cost of pre-processing can be avoided by interleaving dy-namic pro...
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Context 1
... instance, S p = ( [0,1], max, ·, 0, 1) forms a probabilistic c-semiring. The idempotency of the + operation induces a partial order ≤ S over A as follows: a ≤ S b iff a + b = b (for S p , ≤ S ≡ ≤, and + ≡ max). In this paper, we assume that ≤ S is a total order. For example, diagnosis of the full adder circuit shown in Fig. 1 can be framed as a COP over S p with variables X = {u, v, w, x, y, z, c, s, a 1 , a 2 , e 1 , e 2 , o 1 }. Vari- ables u to s are Boolean variables with domain {0, 1}. Variables a 1 to o 1 describe the mode of a component, "Good" or "Broken," and have domain {G,B}. If a component is good (G) then it correctly performs its Boolean ...
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Citations
Model-based diagnosis has a great advantage compared to other diagnostic methods. However, there are some problems existed in model-based method like large complexity, inefficient. This paper studies a state searching method using system conflicts to exclude large invalid state space and speed up the search procedure. All the tested candidate states are generated in best first order and expanded to find best solutions of the system. The simulation results prove the proposed searching method is more effective than the general method.
