Master's thesis - Samu Kumpulainen - University of Jyväskylä 2021
The research field of artificial general intelligence is growing more popular in recent years, but it is complex and fragmented, and therefore difficult to enter for the new researchers. In this thesis, a systematic mapping study was conducted on the field of artificial general intelligence. The goal of the study was to gain insight about the recent developments in the study field, and achieve an overview of the area. In the study there were 92 accepted articles from years 2015-2019 from five different publication forums. Key findings show small but steady amount of researched being published yearly, with focus on novel solution proposals and philosophical papers. Most popular research topics are cognitive architectures, theory of universal AI, AI safety and ethics, and different types of learning methods. Most of the AGI research is conducted in European countries but USA is, by considerable margin, the most active country in the research.
The source and data files for the thesis are contained in this repository. The text is written in LaTex, and compiled to a pdf. The data extracted during the study is contained in the final_results.xlsx in the gradu/material directory. The data files needed for the compilation are in the gradu/material/data directory. The python script used to plot graphs and help in the mapping process is located in the code directory.