Results



The 2015 AAAI Fall Symposium Series Reports

AI Magazine

The Association for the Advancement of Artificial Intelligence presented the 2015 Fall Symposium Series, on Thursday through Saturday, November 12-14, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the six symposia were as follows: AI for Human-Robot Interaction, Cognitive Assistance in Government and Public Sector Applications, Deceptive and Counter-Deceptive Machines, Embedded Machine Learning, Self-Confidence in Autonomous Systems, and Sequential Decision Making for Intelligent Agents. This article contains the reports from four of the symposia.


The 2015 AAAI Fall Symposium Series Reports

AI Magazine

The Association for the Advancement of Artificial Intelligence presented the 2015 Fall Symposium Series, on Thursday through Saturday, November 12-14, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the six symposia were as follows: AI for Human-Robot Interaction, Cognitive Assistance in Government and Public Sector Applications, Deceptive and Counter-Deceptive Machines, Embedded Machine Learning, Self-Confidence in Autonomous Systems, and Sequential Decision Making for Intelligent Agents. This article contains the reports from four of the symposia.


David L Waltz, in Memoriam

AI Magazine

Dave Waltz began his career of creativity and collaboration after completing his dissertation in 1972 at the MIT AI Lab. That dissertation created the field of constraint propagation by showing that constraints and a rich but simple descriptive system were sufficient to recover 3-dimensional information from a 2-dimensional projection. Besides an education, Dave picked up a passion for the high-energy atmosphere that propelled the MIT AI Lab to prominence—an atmosphere that he spent the rest of his life recreating


Mapping the Landscape of Human-Level Artificial General Intelligence

AI Magazine

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.