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Kaa: policy-based explorations of a richer model for adjustable autonomy

Published: 25 July 2005 Publication History

Abstract

Though adjustable autonomy is hardly a new topic in agent systems, there has been a general lack of consensus on terminology and basic concepts. In this paper, we describe the multi-dimensional nature of adjustable autonomy and give examples of how various dimensions might be adjusted in order to enhance performance of human-agent teams. We then introduce Kaa (KAoS adjustable autonomy), which extends our previous work on KAoS policy and domain services to provide a policy-based capability for adjustable autonomy based on this richer notion of adjustable autonomy. The current implementation of Kaa uses a combination of ontologies represented in OWL and influence-diagram-based decision-theoretic algorithms to determine what if any changes should be made in agent autonomy in a given context. We have demonstrated Kaa as part of ONR-sponsored research to improve naval de-mining operations through more effective human-robot interaction. A brief comparison among alternate approaches to adjustable autonomy is provided.

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    cover image ACM Conferences
    AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
    July 2005
    1407 pages
    ISBN:1595930930
    DOI:10.1145/1082473
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    Published: 25 July 2005

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    Author Tags

    1. KAoS
    2. OWL
    3. adjustable autonomy
    4. human-agent teamwork
    5. kaa
    6. policy
    7. trust

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    • (2019)Security Modeling of Autonomous SystemsACM Computing Surveys10.1145/333779152:5(1-34)Online publication date: 13-Sep-2019
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