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The HoneyComb Paradigm for Research on Collective Human Behavior
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A Unifying Framework for Human-Agent Collaborative Systems-Part II: Design Procedure and Application.

Yulong Ding, Bin Xin, Jie Chen

    IEEE Transactions on Cybernetics
    |June 30, 2021
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    Summary
    This summary is machine-generated.

    This study introduces GET-MAN, a two-phase design procedure for human-agent collaboration systems (HACS). It ensures coherent system design and fault prediction for effective human-agent collaboration.

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    Area of Science:

    • Systems Engineering
    • Human-Agent Collaboration (HAC)
    • Artificial Intelligence

    Background:

    • Human-agent collaboration (HAC) is a rapidly growing field with significant future potential.
    • Understanding the systematic design process for human-agent collaboration systems (HACS) is crucial for development.

    Purpose of the Study:

    • To propose a normalized, two-phase design procedure, GET-MAN, for the top-level design of HACS.
    • To provide a systematic framework for determining HACS elements and their influences for coherent system development.

    Main Methods:

    • The GET-MAN procedure, a two-phase approach for HACS design.
    • Utilizing a formalized HACS framework from Part I for verification and fault prediction/explanation.
    • Applying the GET-MAN procedure to a target-searching HACS example.

    Main Results:

    • The GET-MAN procedure effectively guides the design of coherent and well-running HACS.
    • The verification phase enables prediction and explanation of potential faults within candidate HACS.
    • The design procedure is illustrated with a practical example.

    Conclusions:

    • The GET-MAN procedure offers a robust method for HACS design and development.
    • Both the systematic analysis framework (Part I) and GET-MAN (Part II) serve as valuable references for HACS research.
    • The study outlines future research directions based on the GET-MAN procedure.