Darpa Kill Web

In Mosaic warfare, individual warfighting platforms are assembled — like the ceramic tiles in mosaics — to make a larger picture or, in this case, a force package.The Defense Advanced Research Projects Agency (DARPA) is developing this novel warfighting construct to acquire, field, and employ forces.

1. Darpa Kill Web
2. Snai Darpa Kill Web

• Defense planners at the Defense Advanced Research Projects Agency (DARPA) are now looking at transitioning from a kill chain to an interdimensional kill web. Weaponized Nanoparticle Arrays have been strategically deployed and embedded within, let us say, all original lifeforms.
• Defense Advanced Research Projects Agency - DARPA.

Drawing Insights for Mosaic Warfare from the Immune System and from the Navy

• Related Topics:
• Biology and Life Sciences,
• Military Force Planning,
• Netcentric Warfare,
• United States Department of Defense,
• United States Navy,

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In Mosaic warfare, individual warfighting platforms are assembled — like the ceramic tiles in mosaics — to make a larger picture or, in this case, a force package. The Defense Advanced Research Projects Agency (DARPA) is developing this novel warfighting construct to acquire, field, and employ forces. To reveal the value of Mosaic warfare and uncover potential challenges in the transition to this system, the authors of this report present a pair of case studies: (1) an analysis of the human immune system's response to pathogens and (2) an analysis of the U.S. Navy's Naval Integrated Fire Control — Counter Air (NIFC-CA) project.

Noting that the human immune system has evolved over 500 million years to exhibit mosaiclike properties — meaning that these properties have conferred some evolutionary advantage — the authors suggest that Mosaic warfare might have similar advantages, such as resilience and adaptability, over other approaches to defeating a threat. They then discuss lessons and best practices from the NIFC-CA project, which largely owes its success to its unique approach to development and fielding. For example, NIFC-CA used preexisting testing infrastructure; approached testing in a scientific manner, in which failure was viewed as a learning opportunity rather than a setback; and had a lengthy development timeline. From these lessons, the authors derive a cohesive set of policy recommendations for DARPA.

Key Findings

The Mosaic warfare system has much in common with the immune system

• Both contain many functioning parts, are highly adaptable, and are resilient; there is no single point of failure.
• However, with this resiliency comes inefficiency because of possible duplication of effort.
• A Mosaic system might be relatively difficult to control; there is no central authority, and there is a large number of platforms to direct.
• Robust communication is required because of these systems' disaggregated nature.
• A rapid, tailored response to a wide array of possible threats is also necessary.

The NIFC-CA project largely owes its success to its unique approach to development and fielding, which provides several lessons for Mosaic warfare

• Structuring NIFC-CA as a project with minimal funding rather than forming a separate program with significant funding resulted in a small increase in funding requirements on the underlying programs — but also allowed NIFC-CA to survive the turbulence of budget cycles and reviews.
• NIFC-CA began with three exemplar kill chains and identified a standard for data structures early, which allowed the early use of experiments and ensured that all component programs understood a common data format.
• NIFC-CA used the testing infrastructure of preexisting programs instead of creating its own.
• Testing was approached in a scientific manner; test failure was seen as a learning opportunity, not a setback.
• Like NIFC-CA, which had a lengthy development timeline, the initial Mosaic warfare vision might take some time to field.

Recommendations

• Identify pathfinder programs and exemplar vignettes to use as a foil when developing the Mosaic warfare architecture.
• Structure acquisition of the Mosaic warfare architecture as a project with pillar programs rather than as a program of record.
• Develop algorithms for robust data sharing and distributed processing across large networks of mobile systems.
• Develop low-cost rapid manufacturing of platforms and payloads that will make up the Mosaic warfare system.
• Develop distributed manufacturing capabilities in order to build the platforms and payloads that will make up the Mosaic warfare system close to where they are needed.
• Develop distributed and automated command-and-control algorithms and processes that can translate high-level commands to individual platforms and adapt behavior to changing environments and threat behavior.
• Rely on pillar programs to provide early test opportunities, and approach each test event with a willingness to fail and a learning objective.
• Develop an approach to test adaptable systems (including artificial intelligence/machine learning algorithms).
• Test the resilience of the Mosaic warfare architecture to failure or compromise of component systems.

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Table of Contents

• Chapter One

  Introduction

• Chapter Two

  Research Approach

• Chapter Three

  Lessons from the Immune System

• Chapter Four

  Lessons from the Navy

• Chapter Five

  Recommendations

Research conducted by

This research was sponsored by the Defense Advanced Research Projects Agency (DARPA) and conducted within the Acquisition and Technology Policy Center of the RAND National Security Research Division (NSRD).

Snai Darpa Kill Web

This report is part of the RAND Corporation research report series. RAND reports present research findings and objective analysis that address the challenges facing the public and private sectors. All RAND reports undergo rigorous peer review to ensure high standards for research quality and objectivity.

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Document Details

• Copyright: RAND Corporation
• Availability: Available
• PrintFormat: Paperback
• Paperback Pages: 104
• List Price: $22.50
• Paperback Price: $18.00
• Paperback ISBN/EAN: 9781977406132
• DOI:https://doi.org/10.7249/RRA573-1
• Document Number: RR-A573-1
• Year: 2021
• Series:Research Reports

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