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Incorporating Observation Error when Modeling Trust between Multiple Robots Sharing a Common Workspace: (Extended Abstract)

Published: 09 May 2016 Publication History

Abstract

Most multi-robot systems assume all robots are programmed to cooperate and complete tasks without consideration of dishonest robots seeking to maximize their own benefit. The work presented here develops and analyzes a distributed trust estimation framework that allows robots to estimate the trustworthiness of other robots in the community, and share these estimates to enable cooperative trust estimation. Our previous work has shown that when observation errors were ignored, the trust-estimation error converges to a steady state value over time. We extend this previous work, by now considering the effects of observation error and proving that trust-estimation error converges.

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  1. Incorporating Observation Error when Modeling Trust between Multiple Robots Sharing a Common Workspace: (Extended Abstract)

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    Information & Contributors

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    Published In

    cover image ACM Other conferences
    AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems
    May 2016
    1580 pages
    ISBN:9781450342391

    Sponsors

    • IFAAMAS

    In-Cooperation

    Publisher

    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 09 May 2016

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    Author Tags

    1. cooperation
    2. multi-robot systems
    3. trust and reputation

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    • Extended-abstract

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    AAMAS '16
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    AAMAS '16 Paper Acceptance Rate 137 of 550 submissions, 25%;
    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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