Atch 1 - JADPACT II Statement of Objectives

JADPACT II BAA (SOO)

1.0

OBJECTIVE

The Joint All Domain Persistent Adaptive Collaborative Technologies Project is exploring command and control (C2) concepts that enable use of AI/autonomy. C2 Decision Advantage Events provide support for C2 associated decisions and an opportunity to learn about and explore many different AI/ML/automation approaches for C2. Furthermore, the events and R&D aim to ensure warfighter involvement in the development of AI/ML/automation and Human-Machine Teaming (HMT) concepts to further identify areas where autonomy would help warfighters. Including industry is critical to ensure we can leverage work being done to develop and adapt the latest, cutting-edge AI/ML/automation approaches to support C2.

2.0

SCOPE

The Combined Joint All-Domain Command and Control (CJADC2) Campaign Plan 2030 defines decision advantage as the ability to consistently make better, timelier decisions than the adversary. Current DAF C2 systems and processes are optimized for low intensity conflict and do not address decision advantage over the pacing challenge. Deriving effective C2 capability development toward decision advantage requires a clear understanding of what C2 decisions are. The DAF Advanced Battle Management System (ABMS) Cross Functional Team (CFT) provides a quantitative model for the Joint Warfighting Function of C2 as the Command, Plan, Analysis, and Battle Management decision domains. Each of these decision domains are decomposed in the Transformational Model for Decision Advantage (TM) using model-based systems engineering which bring these C2 decisions to light in a detailed manner.

2.1 Transformation Model

The TM describes military decisions being made within a human-machine team (HMT), including specific choices within these domains and the battlespace information needed to inform said choices. Therefore, the TM provides foundational requirements for C2 decision-making that are universal (agnostic to time epoch, process, geography, organization, doctrine, among others). Battle Planning, Battle Command, Battle Management, and Battle Analysis hold 52 discrete Decision functions where there are opportunitites to leverage exisiting and emerging technologies to optimize human-machine teaming for collbaroative decision-making. Additional information on two of the TMs can be found at: SAM.gov

For example, The Transformational Model – Battle Management (TM-BM) is comprised of 13

distinct and orthogonal subfunctions (Figure 1) deduced from the following operational