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Standardizing measurements of autonomy in the artificially intelligent

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Published:28 August 2007Publication History

ABSTRACT

The amount of control that an intelligent system has over their actions, whether they are able to act independently from their creator, plays a major factor in describing systems and in distinguishing them from each other. Different levels of autonomy reflect the different abilities of the machines as well as where and how they can play a part in our daily lives. We may begin to comprehend these abilities and possible applications into human society once we can classify the levels of autonomy. The goal of this project is to set a framework for establishing a standard of autonomy in the scientific community by examining past and current methods of measurement as well as exploring different levels of autonomy's ethics and implications. Once this framework is made available to the scientific community, more tests and experiments will be conducted to refine and further ingrain the framework so that classifications of artificial intelligent agents are available universally. If we are to continue improving upon our machines, developing them to be more adept at communicating and accomplishing tasks, then a set of standards must be established for the safety and convenience of mankind.

References

  1. Bekey, G. A., {2005}, Autonomous Robotics, MIT PressGoogle ScholarGoogle Scholar
  2. Mataric, M. J. {2007}, The Robotics Primer, MIT PressGoogle ScholarGoogle Scholar
  3. Reeker, L. H. {2000}, Theoretic Constructs and Measurement of Performance and Intelligence in Intelligent Systems, Proceedings of the 2000 PerMIS Workshop. Available from NIST/MELGoogle ScholarGoogle Scholar
  4. Reeker, L. H. and A. Jones, {2001}, Measuring the Impact of Information on Complex Systems, Measuring the Performance and Intelligence of Systems: Proceedings of the 2001 PerMIS Workshop. <http://www.isd.mel.nist.gov/research_areas/research_engineering/Perform ance_Metrics/past_wkshp.html>Google ScholarGoogle Scholar
  5. R. Parasuraman, T. B. Sheridan, and C. D. Wickens, "A Model for Types and Levels of Human Interaction with Automation Transactions on Systems, Man, and Cybernetics- Part A, vol. 30, pp. 286--297, 2000 Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Simon, H. A., {1969}, The Sciences of the Artificial, MIT Press Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. The Chinese University of Hong Kong, <www.cuhk.edu.hk/clear/download/PDC/n23_SOLO_assessmt_grid.doc>Google ScholarGoogle Scholar
  1. Standardizing measurements of autonomy in the artificially intelligent

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        cover image ACM Other conferences
        PerMIS '07: Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems
        August 2007
        293 pages
        ISBN:9781595938541
        DOI:10.1145/1660877

        Copyright © 2007 This paper is authored by employees of the United States Government and is in the public domain.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 28 August 2007

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