A Search Based Approach for Overlapping Concept Boundaries
نویسندگان
چکیده
This paper presents techniques to integrate boundary overlap into concept assignment using Plausible Reasoning. Heuristic search techniques such as Hill climbing and Genetic Algorithms are investigated. A new fitness measure appropriate for overlapping concept assignment is introduced. The new algorithms are compared to randomly generated results and the Genetic Algorithm is shown to be the best of the proposed search algorithms in terms of the quality of concept binding, as measured by the fitness function. The fixed boundary Hypothesis Based Concept Assignment technique is compared to the new algorithms. The Genetic Algorithm and Hill climbing are found to consistently produce stronger concepts than Hypothesis Based Concept Assignment.
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