Request for Proposal (RFP) for Transformational Model – Battle Management Match Effectors (MEF) Decision Advantage Sprint for Human-machine teaming (DASH)

While perhaps streamlining and expediting battlespace information transport and display, current and emerging C2 systems still foist battle management decision-making on the humans. One of these decision functions is “Match Effectors” (MEF). MEF considers which units, agencies, formations, platforms, or weapon systems—individually or as pre-arranged force packages—potentially can and may achieve a particular effect, and rank-orders those potential matches.

MEF reasons over locally usable BattleEffects, Deliverables, Effectors, other IdeaElements, and uncertainties therein, to construe plausibly implementable EffectEffectorMatches, map Deliverables and Effectors to OperationalLimits, estimate contextualized measures to compare EffectEffectorMatches, estimate dynamic probability distributions over multi-parameter EffectEffectorMatch partial-orderings, and expose uncertainties, gaps, and conflicts therein.

The principal output of MEF is a partially ordered set of EffectEffectorMatches. The MEF DASH aims to answer the following core questions: How many decision opportunities are recognized/missed? How fast can the HMT make its decision? How accurate or error free are the HMT’s decisions? How confident is the human operator in the HMT’s solution? What are some technical software attributes/requirements that must be considered along with the functional requirements? Software attributes will be assessed based on HMT decision speed, correctness, completeness, and user experience. Experiment details will be distributed along with this RFP.