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This contribution outlines a cognitive-oriented approach to construct test systems that can "partially " imitate several cognitive paradigms of skilled human testers. For example, learning, reasoning, optimization, etc. Hence, a reasonable portion of the workload done by a human tester would be shifted to the test system itself. This consequently leads to a substantial reduction in the development time and cost; yet the test efficiency is not sacrificed.