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Mapping the landscape of human-level artificial general intelligence

  • Sam S. Adams
  • , Itamar Arel
  • , Joscha Bach
  • , Robert Coop
  • , Rod Furlan
  • , Ben Goertzel
  • , J. Storrs Hall
  • , Alexei Samsonovich
  • , Matthias Scheutz
  • , Matthew Schlesinger
  • , Stuart C. Shapiro
  • , John F. Sowa
  • IBM
  • University of Tennessee
  • Humboldt University of Berlin
  • Quaternix Research Inc.
  • George Mason University
  • Tufts University

Research output: Contribution to journalArticlepeer-review

150 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)25-41
Number of pages17
JournalAI Magazine
Volume33
Issue number1
DOIs
StatePublished - 2012

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