Knowledge Model Based on Error Logic for Intelligent System

Based on error logic, a new knowledge discovery method is presented in this paper. We uses error matrix that is built on error logic to represent knowledge. Error matrix is a useful method of modeling for scene. By means of solution of error matrix equation, we can get error logic transformation equation that can be used in reasoning about question. Combining the elements such as discussing domain, the things of u, space, characteristic, value of characteristic, error value and rules of object with decomposed transformation, similarity transformation, increased transformation, replacement transformation, vanishing transformation and unit transformation, we can obtain several useful alternative change paths by permutations and combinations. This paper present a general solution of the equation of X∧A=B based on the decomposed transformation of the things of u. Finally, the future works that are going to study farther is given.