Extending CA with AI COAs for Wargaming
Loading...
Authors
Runde, Sharon M.
Godin, Arkady
Blais, Curt
Subjects
human-machine teaming
HMT
automation
artificial intelligence
AI
courses of action
decision making
decision support systems
fire support coordination
situational awareness
SA
cognition
HMT
automation
artificial intelligence
AI
courses of action
decision making
decision support systems
fire support coordination
situational awareness
SA
cognition
Advisors
Date of Issue
2021
Date
2021
Publisher
Monterey, California: Naval Postgraduate School
Monterey, California. Naval Postgraduate School.
Monterey, California. Naval Postgraduate School.
Language
en_US
Abstract
The objectives of this study is to research and assess the initial stages of the evolution of Human-Machine Teaming (HMT) mission workflows which is focused on transitioning of automation tasks from humans to machines within the context of Interdependency Analysis; a technique which is used as part of a Co-Active Design in the process of digitization of mission workflows such as Fire Support Coordination (FSCn). Also, to study the advanced stage(s) of the evolution of HMT to include Linguistic Geometry, Real-time Adversarial Intelligence and Decision Making (LG-RAID) Courses-of-Action (COA) Wargaming Decision-making (DM) AI functions and what role natural language processing (NLP) plays. In addition, this study will explore the viability of Interdependence Analysis (IA) matrix and NLP in HMT peer-to-peer COAs generation paradigm as opposed to other approaches. Finally, this study will leverage complex Joint Naval Force EABO scenario (UNCLASS) designed by MCWL to explore NLP and LG-RAID COA's distributed agents managing the decision making of operators using various modes of HMT interface of AI run-time execution agents thereby enriching digital workflows.
Type
Report
Description
NPS NRP Executive Summary
Series/Report No
Department
Information Sciences
Organization
Naval Research Program (NRP)
Identifiers
NPS Report Number
Sponsors
HQMC Plans, Policies & Operations (PP&O)
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.