Artificial general intelligence : a systematic mapping study
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2021Copyright
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Yleisen tekoälyn tutkimuskenttä on viime vuosina kasvattanut kiinnostustaan, mutta aihealueen monimutkaisuuden ja jakautuneisuuden vuoksi uusien tutkijoiden voi olla hankala päästä siihen sisään. Tässä tutkielmassa suoritettiin systemaattinen kirjallisuuskartoitus yleisen tekoälyn tutkimuksesta. Tavoitteena oli saada selville tutkimuskentän viimeaikaiset ilmiöt, sekä luoda yleiskuva nykyisestä tutkimuksesta. Tutkielmassa käytiin läpi 92 artikkelia viidestä eri julkaisukanavasta vuosilta 2015-2019. Tuloksista nähdään, että tutkimuksen määrä on pieni, mutta uusia tutkimuksia julkaistaan tasaiseen tahtiin vuosittain. Tutkimus koostuu pääosin uusista ratkaisuehdotuksista, sekä filosofisista artikkeleista. Suosituimpia tutkimusaiheita ovat kognitiiviset arkkitehtuurit, tekoälyn laskettavuuden teoria, tekoälyn turvallisuutta ja etiikkaa koskevat kysymykset, sekä erilaiset oppimismenetelmät. Suurin osa yleisen tekoälyn tutkimuksesta tulee Euroopan maista, mutta julkaisumäärältään suurin yksittäinen maa on Yhdysvallat.
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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 research 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.
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