Open AccessMapping the Landscape of Human‐Level Artificial General Intelligence
Author(s) -
Adams Sam S.,
Arel Itamar,
Bach Joscha,
Coop Robert,
Furlan Rod,
Goertzel Ben,
Hall J. Storrs,
Samsonovich Alexei,
Scheutz Matthias,
Schlesinger Matthew,
Shapiro Stuart C.,
Sowa John F.
Publication year - 2012
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v33i1.2322
Subject(s) - foundation (evidence) , computer science , artificial general intelligence , artificial intelligence , human intelligence , data science , cognitive science , human–computer interaction , management science , engineering , psychology , geography , archaeology
We present the broad outlines of a roadmap toward human‐level artificial general intelligence (henceforth, AGI). We begin by discussing AGI in general, adopting a pragmatic goal for its attainment and a necessary foundation of characteristics and requirements. An initial capability landscape will be presented, drawing on major themes from developmental psychology and illuminated by mathematical, physiological, and information‐processing perspectives. The challenge of identifying appropriate tasks and environments for measuring AGI will be addressed, and seven scenarios will be presented as milestones suggesting a roadmap across the AGI landscape along with directions for future research and collaboration.