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Toward Trustworthy Adjustable Autonomy in KAoS

  • Jeffrey M. Bradshaw
  • Hyuckchul Jung
  • Shri Kulkarni
  • Matthew Johnson
  • Paul Feltovich
  • James Allen
  • Larry Bunch
  • Nathanael Chambers
  • Lucian Galescu
  • Renia Jeffers
  • Niranjan Suri
  • William Taysom
  • Andrzej Uszok
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3577)

Abstract

Trust is arguably the most crucial aspect of agent acceptability. At its simplest level, it can be characterized in terms of judgments that people make concerning three factors: an agent’s competence, its benevolence, and the degree to which it can be rapidly and reliably brought into compliance when things go wrong. Adjustable autonomy consists of the ability to dynamically impose and modify constraints that affect the range of actions that the human-agent team can successfully perform, consistently allowing the highest degrees of useful autonomy while maintaining an acceptable level of trust. Many aspects of adjustable autonomy can be addressed through policy. Policies are a means to dynamically regulate the behavior of system components without changing code or requiring the cooperation of the components being governed. By changing policies, a system can be adjusted to accommodate variations in externally imposed constraints and environmental conditions. In this paper we describe some important dimensions relating to autonomy and give examples of how these dimensions might be adjusted in order to enhance performance of human-agent teams. We introduce Kaa (KAoS adjustable autonomy) and provide a brief comparison with two other implementations of adjustable autonomy concepts.

Keywords

Computational Autonomy Influence Diagram Authorization Policy Negative Authorization Unmanned System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jeffrey M. Bradshaw
    • 1
  • Hyuckchul Jung
    • 1
  • Shri Kulkarni
    • 1
  • Matthew Johnson
    • 1
  • Paul Feltovich
    • 1
  • James Allen
    • 1
  • Larry Bunch
    • 1
  • Nathanael Chambers
    • 1
  • Lucian Galescu
    • 1
  • Renia Jeffers
    • 1
  • Niranjan Suri
    • 1
  • William Taysom
    • 1
  • Andrzej Uszok
    • 1
  1. 1.Institute for Human and Machine Cognition (IHMC)PensacolaUSA

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