Mapping the Landscape of Human-Level Artificial General Intelligence

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. Some of the ideas also trace back to discussions held during two Evaluation and Metrics for Human Level AI workshopa organized by John Laird and Pat Langley (one in Ann Arbor in late 2008, and one in Tempe in early 2009).