The design, implementation on a network of transputers, and testing of a parallel projection algorithm which differs from traditional methods is described. A new automated testbed generator which produces large, complex CGs knowledge bases.for testing CGs sys[ems, is irttroduced and discussed. Extensive tests, using automatically generated data, show that the algorithm is scalable and free from excessive communication overhead. A parallel version of the Peirce-logic-based theorem prover is suggested.
CITATION STYLE
Chart, A., & Kocura, P. (1995). Transputer network implementation of a parallel projection algorithm for conceptual graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 954, pp. 217–231). Springer Verlag. https://doi.org/10.1007/3-540-60161-9_40
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