# Decision Making

**R-2A activity** of project 613003 — Mathematics, Information and Life Sciences  
**Program element:** 0601102F — Defense Research Sciences  
**Component:** U.S. Air Force · **Budget Activity:** 1  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/programs/0601102F/613003/a1  
**Parent:** https://hitchintel.com/programs/0601102F/613003

## Summary

This activity requests $21.2M in FY2027, 22% of project 613003, up 4.9% on FY2026. The R-2A exhibit describes it across FY2026–FY2027, including what the FY2027 money is planned to buy.

## What the FY2027 request buys

**FY2027 planned work.** - Continue investigating new mathematical laws, scientific principles, and robust algorithms that underlie intelligent, mixed human-machine decision-making to achieve accurate real-time integration of human expertise and knowledge into a machine-based battlespace network. - Continue to develop new mathematical models for information capture; object, scene and relation identification; and multi-level reasoning and meta-learning. - Continue to advance the critical knowledge base in modeling of individual and group cognitive processing and decision making, and construct advanced methodologies for predictive, verifiable simulations of large-scale socio-cultural and human-machine hybrid networks.

**FY2026 to FY2027 change.** FY 2027 increased compared to FY 2026 by $0.986 million due to minor programmatic adjustments to the DAF Science and Technology portfolio.

## Before the request year

**FY2026 plans — current year.** - Investigate new mathematical laws, scientific principles, and robust algorithms that underlie intelligent, mixed human-machine decision-making to achieve accurate real-time integration of human expertise and knowledge into a machine-based battlespace network. - Develop new mathematical models for information capture; object, scene and relation identification; and multi-level reasoning and meta-learning. - Advance the critical knowledge base in modeling of individual and group cognitive processing and decision making, and construct advanced methodologies for predictive, verifiable simulations of large-scale socio-cultural and human-machine hybrid networks.

## Funding

| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 21.7 |
| FY2026 | Enacted | 20.2 |
| FY2027 | Request | 21.2 |

> Prior, current and budget year only — an R-2A activity carries no five-year plan. It sums exactly into its project in the request year and not necessarily in any other.

## Other activities in project 613003

- [Dynamical Systems, Optimization, and Control](https://hitchintel.com/programs/0601102F/613003/a2) — FY2027 27.5
- [Natural Materials and Systems](https://hitchintel.com/programs/0601102F/613003/a3) — FY2027 27.0
- [Information and Complex Networks](https://hitchintel.com/programs/0601102F/613003/a0) — FY2027 21.1

## Source & machine access

- **Source:** FY2027 Department of the Air Force RDT&E Budget Justification, Exhibit R-2A, PE 0601102F project 613003 (PB PB2027). Narrative is the government's own text.
- **No marks, no contractors at this grain** — congressional marks land on the program element and R-3 performers on the project.
- **MCP:** `mcp.hitchintel.com` — `budget_get_activity`.

*HitchAI is an independent intelligence service, not affiliated with the U.S. Department of Defense. Budget figures are requests/estimates, not obligations.*