Knowledge Combination Analysis Reveals That Artificial Intelligence Research Is More Like “Normal Science” Than “Revolutionary Science”

التفاصيل البيبلوغرافية
العنوان: Knowledge Combination Analysis Reveals That Artificial Intelligence Research Is More Like “Normal Science” Than “Revolutionary Science”
المؤلفون: Wang, J., Maynard, A., Lobo, J., Michael, K., Motsch, S., Strumsky, Deborah
المصدر: Proceedings of the Annual Hawaii International Conference on System Sciences Hawaii International Conference on System Sciences. :5598-5607
مصطلحات موضوعية: artificial intelligence, bibliographic data, co-citation networks, knowledge combination, knowledge management, scientific research, Artificial intelligence research, Citation dynamics, Cocitation, Combination analysis, Normal science, Scientific researches, Sources of innovation
الوصف: Artificial Intelligence (AI) research is intrinsically innovative and serves as a source of innovation for research and development in a variety of domains. There is an assumption that AI can be considered “revolutionary science” rather than “normal science.” Using a dataset of nearly 300,000 AI publications, this paper examines the co-citation dynamics of AI research and investigates its trajectory from the perspective of knowledge creation as a combinatorial process. We found that while the number of AI publications grew significantly, they largely follows a normal science trajectory characterized by incremental and cumulative advancements. AI research that combines existing knowledge in highly conventional ways is a substantial driving force in AI and has the highest scientific impact. Radically new ideas are relatively rare. By offering insights into the co-citation dynamics of AI research, this work contributes to understanding its evolution and guiding future research directions.
وصف الملف: print
URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-65939
https://scholarspace.manoa.hawaii.edu/items/90d7e2de-d649-44b7-ab1a-705e0582f1cc
قاعدة البيانات: SwePub