Systems with General Intelligence: A New Perspective

author: Michael Thielscher, School of Computer Science and Engineering, University of New South Wales
published: Sept. 1, 2010,   recorded: July 2010,   views: 6957
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Description

General intelligence enables agents and robots to adapt automatically to previously unknown situations. This new level of autonomy has recently been achieved in Computer Game Playing with the advent of programs that understand the rules of new games and learn to play them well without human intervention. This talk will advocate agents and robots with general intelligence as a Grand Challenge, aiming at the next generation of AI systems that can be told what we expect from them and that learn to carry out radically different tasks in radically new environments. It will be argued that this calls for a new research focus for AI with the goal to integrate different, successful AI methodologies.

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Download slides icon Download slides: aaai2010_thielscher_sgi_01.pdf (1.5 MB)


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