Turing revisited: A cognitively-inspired decomposition

Abstract

After a short assessment of the idea behind the Turing Test, its actual status and the overall role it played within AI, I propose a computational cognitive modeling-inspired decomposition of the Turing test as classical “strong AI benchmark” into at least four intermediary testing scenarios: a test for natural language understanding, an evaluation of the performance in emulating human-style rationality, an assessment of creativity-related capacities, and a measure of performance on natural language production of an AI system. I also shortly reflect on advantages and disadvantages of the approach, and conclude with some hints and proposals for further work on the topic.