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Muddy Tasks and the Necessity of Autonomous Mental Development Juyang Weng Embodied Intelligence Laboratory Department of Computer Science and Engineering Michigan State University East Lansing MI 48824 USA weng cse msu edu In Proc 2005 AAAI Spring Symposiums Developmental Robotics Symposium Stanford University Stanford CA March 21 23 Abstract Why do we need autonomous mental development AMD for intelligent robots This paper introduces a concept called task muddiness which supports AMD as a necessity for higher intelligence The task muddiness is meant to be inclusive and expendable in nature The intelligence required to execute a task is measured by the composite muddiness of the task measured by a number of muddiness axes The composite muddiness explains why many challenging tasks such as the DARPA Grand Challenge 2005 DARPA 2004 are muddy and why the autonomous mental development AMD approach is necessary for muddy tasks Introduction Despite the power of modern computers we have seen a paradoxical picture of artificial intelligence AI Computers have done very well in areas that are typically considered very difficult by humans such as playing simulated chess games However they have done poorly in areas that are commonly considered easy by humans such as vision audition and natural language understanding There have been numerous studies on measuring the intelligence of AI systems The imitation game proposed by Alan M Turing Turing 1950 now known as the Turing Test has greatly influenced the ways machine intelligence was studied The limitation of such a symbolic text based test has now been better recognized e g see the article by Donald Michie Michie 1993 and Donald Norman Norman 1991 The proposed Total Turing Test Russell Norvig 2003 includes computer vision to perceive objects and robotics to manipulate objects and move about The National Institute of Standards and Technology NIST has been hosting Workshops on Measuring the Performance and Intelligence of Systems



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