Strategic Chaos Engine for Planning, Tactics, Experimentation and Resiliency (SCEPTER)
Closed Pre-Solicitation Posted
- Solicitation number
- HR001122S0013
- Agency
-
Defense Advanced Research Projects Agency
Department of Defense
- Responses due
- Set-aside
- No set-aside
Opportunity facts
Notice details come from SAM.gov. Updated .
About this opportunity
The Defense Advanced Research Projects Agency seeks proposals to develop analytic engines for its Strategic Chaos Engine for Planning, Tactics, Experimentation and Resiliency program. Compliant proposals must address either developing unscripted goal-oriented agents or managing state-action search spaces to enable fast exploration of large-scale military scenarios. Proposals will be evaluated based on the approach, qualifications, and cost/pricing, with a deadline of March 11, 2022. The program aims to generate and evaluate machine-planned military strategies and courses of action through simulation experimentation.
There is no set-aside designation. Relevant NAICS codes are 541715 and 518210, with potential PSC codes of D316 and R425. Total anticipated funding for Phases 1 and 2 is $39 million over 36 months, with multiple awards expected for the initial 18-month Phase 1 period to support development.
Notice text
3 versions
Update #3 · Latest ·
The Strategic Chaos Engine for Planning, Tactics, Experimentation and Resiliency (SCEPTER) program seeks to develop analytic engines that will produce machine-generated strategies, capable of competing with humans in the planning of real warfare as evaluated within trusted simulation environments. SCEPTER will discover novel and surprising courses of action (COAs) by exploring the high complexity state-action space of military engagements at machine speed. It is envisioned that high COA exploration speed will be enabled by tailorable abstraction of trusted, expert-informed models. A few of the best performing COAs will be validated in higher fidelity trusted simulators and with thorough human review. Compliant Phase 1 proposals will address two key technical challenges or focus areas: (FA-1) Development of unscripted goal-oriented agents capable of discovering novel, relevant, and interpretable COAs; and (FA-2) Management of exponential growth of the global state-action space to achieve fast exploration of large-scale military scenarios.
Update 1: Please see the attached SCEPTER Q&As, dated 1/28/22.
Update 2: Please see the attached SCEPTER FAQs, dated 2/16/22.
Update #2 ·
The Strategic Chaos Engine for Planning, Tactics, Experimentation and Resiliency (SCEPTER) program seeks to develop analytic engines that will produce machine-generated strategies, capable of competing with humans in the planning of real warfare as evaluated within trusted simulation environments. SCEPTER will discover novel and surprising courses of action (COAs) by exploring the high complexity state-action space of military engagements at machine speed. It is envisioned that high COA exploration speed will be enabled by tailorable abstraction of trusted, expert-informed models. A few of the best performing COAs will be validated in higher fidelity trusted simulators and with thorough human review. Compliant Phase 1 proposals will address two key technical challenges or focus areas: (FA-1) Development of unscripted goal-oriented agents capable of discovering novel, relevant, and interpretable COAs; and (FA-2) Management of exponential growth of the global state-action space to achieve fast exploration of large-scale military scenarios.
Update: Please see the attached SCEPTER Q&As.
Update #1 ·
The Strategic Chaos Engine for Planning, Tactics, Experimentation and Resiliency (SCEPTER) program seeks to develop analytic engines that will produce machine-generated strategies, capable of competing with humans in the planning of real warfare as evaluated within trusted simulation environments. SCEPTER will discover novel and surprising courses of action (COAs) by exploring the high complexity state-action space of military engagements at machine speed. It is envisioned that high COA exploration speed will be enabled by tailorable abstraction of trusted, expert-informed models. A few of the best performing COAs will be validated in higher fidelity trusted simulators and with thorough human review. Compliant Phase 1 proposals will address two key technical challenges or focus areas: (FA-1) Development of unscripted goal-oriented agents capable of discovering novel, relevant, and interpretable COAs; and (FA-2) Management of exponential growth of the global state-action space to achieve fast exploration of large-scale military scenarios.
Files
| File | Type | Posted |
|---|---|---|
| SCEPTER_FAQ_02162022.pdf | ||
| SCEPTER_QA_01282022.pdf | ||
| DARPA_StandardCostProposalSpreadsheetSingleTA-11-2021.xlsx | XLSX spreadsheet | |
| HR001122S0013.pdf |
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