Abstract
The aim is to make appropriate reflections on artificial intelligence AI through the differences in cognitive systems between intelligent digital libraries and well-trained experts, especially scientists. The method is: first, compare the difference and connection between data structure and knowledge reserve, then compare the difference and connection between query, retrieval or search algorithm path, finally, compare the difference and connection between cognitive computing and cognitive ability. Its characteristics are: data query or search algorithm and logical reasoning or cognitive computing, knowledge graph and cognitive graph are all conducive to the construction of intelligent digital library. The result is: it is found that whether it is based on rules or statistics or a combination of the two cognitive systems, there are limitations in cognitive computing and cognitive ability or intelligence. Its significance lies in: from this we can at least reflect on the theoretical limits of AI and some worthy questions, such as the calculability problem and Turing test problem and the Chinese Room Argument of the intelligent digital library. The problem of isomorphism with the information processing mode of the intelligent digital computer, and why can’t the intelligent digital library become a well-trained expert or even a scientist, and so on are worthy of the philosophy of logic and mind with Cognitive Science.
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Zou, X., Wu, X., Zhang, B., Yang, Q., Li, J. (2021). Reflection on AI: The Cognitive Difference Between Libraries and Scientists. In: Sun, F., Liu, H., Fang, B. (eds) Cognitive Systems and Signal Processing. ICCSIP 2020. Communications in Computer and Information Science, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-2336-3_33
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DOI: https://doi.org/10.1007/978-981-16-2336-3_33
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