Yapay Zekâ Teknolojilerinde Etkili Faktörler Üzerine Bir Model Denemesi: En Başarılı Ülkelerle Panel Veri Analizi

Abstract

Bu çalışmanın amacı, yapay zekâ teknolojilerinde en başarılı ülkelerin bu başarılarındaki etkili faktörleri araştırmaktır. Bu amaçla yapay zekâ teknolojilerinde en başarılı ülkelere ilişkin 2005-2017 dönemi verileri esas alınarak yapay zekâ patentlerinin, Ar-Ge harcamaları, araştırmacı sayıları ve bilimsel yayın sayıları ile ilişkisini tespit etmek maksadıyla dinamik bir model kurulmuştur. Bu model S-GMM yöntemiyle tahmin edilerek söz konusu faktörlerin ilişkisi araştırılmıştır. Ekonometrik analiz sonucunda, yapay zekâ teknolojilerinde Ar-Ge harcamalarının, bilimsel yayın sayılarının ve araştırmacı sayısının pozitif yönlü ilişkisi ampirik olarak ortaya konulmuştur.

Keywords

• Yapay Zekâ
• Ar-Ge
• Patent
• S-GMM
• Bölgesel Çalışmalar.

A Model Experiment on Effective Factors in Artificial Intelligence Technologies: A Panel Data Analysis with the Most Successful Countries

Abstract

The aim of this study is to investigate the effective factors in the success of the most successful countries in AI technologies. For this purpose, a dynamic model has been established in order to determine the relationship between AI patents, R&D expenditures, number of researchers and scientific publications, based on the 2005-2017 period data on the most successful countries in AI technologies. This model was estimated by the S-GMM method and the relationship of these factors was investigated. As a result of the econometric analysis, the positive relationship between R&D expenditures, the number of scientific publications and researchers in AI technologies has been empirically revealed.

Keywords

• Artificial Intelligence
• R&D
• Patent
• S-GMM
• Regional Studies.

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