Modeling Provenance of Decisions within the Human-Autonomy Team

Crisrael Lucero; Trung Dong Huynh; Douglas S Lange; Luc Moreau

doi:10.14339/STO-MP-HFM-300-11-PDF

Modeling Provenance of Decisions within the Human-Autonomy Team

Crisrael Lucero, Trung Dong Huynh, Douglas S Lange^*, Luc Moreau

^*Corresponding author for this work

Space and Naval Warfare Systems Center - Pacific

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

39 Downloads (Pure)

Abstract

Dynamic mission environments create an always-changing battlespace with many actors. The use of artificial intelligence and autonomy can support the decision-making burden on human operators tasking unmanned vehicles. However, the burden of knowledge and memorization can become overwhelming to bear during complex operations. We introduce information provenance and the capabilities it provides when actors within the human-autonomy team have their actions and decisions modelled by the Provenance Data Model and recorded as provenance data. Issues that are addressed by enabling autonomous command and control systems with information provenance include situation awareness, transparency, and improved decision making aids.

Original language	English
Title of host publication	NATO STO-MP-HFM-300 Symposium on Human-Autonomy Teaming
Publisher	NATO
Chapter	11
Pages	11-1–11-10
Number of pages	10
ISBN (Electronic)	978-92-837-2221-2
DOIs	https://doi.org/10.14339/STO-MP-HFM-300-11-PDF
Publication status	Published - 11 Apr 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.14339/STO-MP-HFM-300-11-PDF

MP-HFM-300-11Final published version, 643 KB

Cite this

@inbook{7ec75b9607764e518195b7b79a6f99ed,

title = "Modeling Provenance of Decisions within the Human-Autonomy Team",

abstract = "Dynamic mission environments create an always-changing battlespace with many actors. The use of artificial intelligence and autonomy can support the decision-making burden on human operators tasking unmanned vehicles. However, the burden of knowledge and memorization can become overwhelming to bear during complex operations. We introduce information provenance and the capabilities it provides when actors within the human-autonomy team have their actions and decisions modelled by the Provenance Data Model and recorded as provenance data. Issues that are addressed by enabling autonomous command and control systems with information provenance include situation awareness, transparency, and improved decision making aids.",

author = "Crisrael Lucero and Huynh, {Trung Dong} and Lange, {Douglas S} and Luc Moreau",

year = "2019",

month = apr,

day = "11",

doi = "10.14339/STO-MP-HFM-300-11-PDF",

language = "English",

pages = "11--1–11--10",

booktitle = "NATO STO-MP-HFM-300 Symposium on Human-Autonomy Teaming",

publisher = "NATO",

}

TY - CHAP

T1 - Modeling Provenance of Decisions within the Human-Autonomy Team

AU - Lucero, Crisrael

AU - Huynh, Trung Dong

AU - Lange, Douglas S

AU - Moreau, Luc

PY - 2019/4/11

Y1 - 2019/4/11

N2 - Dynamic mission environments create an always-changing battlespace with many actors. The use of artificial intelligence and autonomy can support the decision-making burden on human operators tasking unmanned vehicles. However, the burden of knowledge and memorization can become overwhelming to bear during complex operations. We introduce information provenance and the capabilities it provides when actors within the human-autonomy team have their actions and decisions modelled by the Provenance Data Model and recorded as provenance data. Issues that are addressed by enabling autonomous command and control systems with information provenance include situation awareness, transparency, and improved decision making aids.

AB - Dynamic mission environments create an always-changing battlespace with many actors. The use of artificial intelligence and autonomy can support the decision-making burden on human operators tasking unmanned vehicles. However, the burden of knowledge and memorization can become overwhelming to bear during complex operations. We introduce information provenance and the capabilities it provides when actors within the human-autonomy team have their actions and decisions modelled by the Provenance Data Model and recorded as provenance data. Issues that are addressed by enabling autonomous command and control systems with information provenance include situation awareness, transparency, and improved decision making aids.

U2 - 10.14339/STO-MP-HFM-300-11-PDF

DO - 10.14339/STO-MP-HFM-300-11-PDF

M3 - Conference paper

SP - 11-1–11-10

BT - NATO STO-MP-HFM-300 Symposium on Human-Autonomy Teaming

PB - NATO

ER -

Modeling Provenance of Decisions within the Human-Autonomy Team

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this