Basic and Applied AI Research Requirements ISO of the Battlespace to Ensure Decision Superiority
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Authors
Godin, Arkady
Subjects
Knowledge-Centricity
Adaptive Workflow
Situation-Aware
State
Context
Knowledge Representation
Logical Theory of Causality
Classical Logic
Causal Inference
Non-monotonic Reasoning
Main Formalism
Causal Calculus
Default Logic
Non-monotonic Semantics
Extensions of Default Theory
Default Theory
Classical Propositions
Default Rules
Meta-Rules
Adaptive Workflow
Situation-Aware
State
Context
Knowledge Representation
Logical Theory of Causality
Classical Logic
Causal Inference
Non-monotonic Reasoning
Main Formalism
Causal Calculus
Default Logic
Non-monotonic Semantics
Extensions of Default Theory
Default Theory
Classical Propositions
Default Rules
Meta-Rules
Advisors
Date of Issue
2025-01-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
RDT&E 6.1 – 6.6 requirements act as a foundation for the funding of all, with no exceptions, programs and projects in the Department of Defense. However, it is an uncharted territory in regard to developing a sound methodology on how to define requirements that avoid supporting existing hype built around the enormously important space of Artificial Intelligence (AI). The purpose of the study is meticulous exploration of requirements definitions to ensure the requirements support important connection with the data strategy for AI. Supporting such a connection is a necessity as otherwise AI requirements will be biased due to financial pressures in the AI space and the possibility of another winter in this space. Connecting data strategy with a top-down AI requirements approach is known to foster innovation. The Machine Learning bottom-up approach is proven to scale.
Type
Technical Report
Description
Series/Report No
Department
Organization
Identifiers
NPS Report Number
NPS-IS-24-001
Sponsors
Naval Postgraduate School, Naval Research Program
ONR/NavalX
ONR/NavalX
Funding
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
35 p.
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.