This architecture extends concepts from meaningful human control (ICRC; Horowitz, 2016), human-on-the-loop (HOTL) paradigms, and strategic latency theory. FLAME advances these foundations by implementing mandatory deliberation windows as a formal engineered system with cryptographically signed state transitions — not policy guidance.
Deterministic Latency Injection Middleware for Preventing Autonomous Escalation
Patent SubmittedZenodo: Oktenli, B. (2026). Flash War Latency Architecture for Multi-Domain Escalation Control. Zenodo. 10.5281/zenodo.19015618
As autonomous systems participate in military command chains, the risk of AI-driven conflict escalation increases. Decision-time compression in multi-domain operations (air, land, sea, cyber, space) can create scenarios where autonomous systems escalate faster than human commanders can assess and intervene. The concept of "flash wars" (analogous to financial flash crashes) describes cascading autonomous escalation events that outpace human decision-making capacity.
The National Security Commission on Artificial Intelligence (2021) identified autonomous escalation as a critical risk requiring technical governance mechanisms. JADC2 architectures require that human commanders maintain meaningful authority over escalation decisions. FLAME addresses this by introducing mandatory deliberation windows that create structured time for human oversight before critical autonomous actions execute.
FLAME implements Strategic Latency as a formal engineered system. Rather than treating latency as a performance problem, FLAME uses controlled delay injection to create deliberation windows that prevent autonomous escalation. The system operates through a 5-state Circuit Breaker State Machine and a Dynamic Delay Function:
D(A, tier, domain) = base_delay × authority_factor(A) × tier_multiplier(tier) × domain_weight(domain)
FLAME wraps HMAA authority decisions with mandatory deliberation windows before critical actions execute. It operates between the HMAA authority engine and the command gate. In multi-domain military operations, FLAME ensures that escalation decisions pass through structured delay periods proportional to the severity and domain of the action. The delay function considers authority level (higher authority = longer delay), operational tier (strategic > operational > tactical), and action domain (kinetic and nuclear actions receive maximum delays).
All architectures (SATA, HMAA, CARA, MAIVA, FLAME, ADARA, ERAM) are components of a unified authority-governed autonomy framework. This architecture is validated through six physical research platforms (Rover Testbed, UAV Platform, BLADE-EDGE, BLADE-AV, BLADE-MARITIME, BLADE-INFRA) and thirteen interactive simulations.
Deployment flexibility: This architecture can operate as part of the full governance pipeline (SATA-HMAA-ADARA-MAIVA-FLAME-CARA) or independently as a single-layer module. FLAME can operate as a standalone deliberation middleware on resource-constrained edge devices, providing latency injection without the full governance stack.
As autonomous systems participate in military command chains, decision cycles compress to millisecond timescales. When AI-assisted decisions feed into other AI-assisted decisions across air, land, sea, cyber, and space domains, escalation can cascade faster than human commanders can assess the situation. The concept of "flash wars" (analogous to financial flash crashes) describes this risk: autonomous systems escalating a conflict before any human has the opportunity to evaluate or intervene.
Cummings (2017) analyzed the implications of AI in military decision-making and identified that removing humans from the decision loop in time-critical scenarios creates unacceptable escalation risks. Scharre (2018) argued that the speed of autonomous weapons creates a new category of strategic instability where "the machine speed of modern warfare could outpace the ability of humans to make wise decisions." The National Security Commission on AI (2021) recommended developing technical mechanisms to maintain human control over escalation-critical decisions.
FLAME reframes latency as a governance tool rather than a performance cost. In conventional system design, latency is minimized. FLAME introduces controlled, context-sensitive latency injection to create mandatory deliberation windows that preserve human decision-making authority in the command chain.
FLAME operates through a 5-state Circuit Breaker that determines the level of delay injection based on operational context:
The delay injection is context-sensitive, computed from three factors:
Higher authority actions receive proportionally longer delays. A weapons engagement command receives more deliberation time than a sensor reorientation.
Strategic-level decisions receive higher multipliers than tactical decisions. Division-level commands get more deliberation time than squad-level commands.
Kinetic and nuclear domains receive maximum delay weights. Cyber and space domains receive domain-specific weights reflecting reversibility of actions.
The FLAME simulation demonstrates the complete escalation control pipeline including the Circuit Breaker state transitions, Dynamic Delay computation, Keep-Alive heartbeat monitoring, and human notification triggers.
Configurable multi-domain scenarios where autonomous decisions cascade across air, land, cyber, and space domains with visible escalation velocity.
Real-time state visualization showing CLOSED→HALF-OPEN→OPEN→FORCED→LOCKOUT transitions with delay injection amounts displayed.
Visual countdown showing remaining deliberation time for held actions, with Keep-Alive heartbeat status and human notification indicators.
Side-by-side comparison showing cascading escalation without FLAME versus controlled escalation with FLAME delay injection active.
POST /escalation/evaluate
{
"authority_level": "A2",
"action_type": "weapons_engagement",
"tier": "operational",
"domain": "kinetic",
"escalation_velocity": 0.72,
"breaker_state": "HALF-OPEN"
}
{
"breaker_state": "FORCED",
"delay_ms": 5000,
"execute": false,
"reason": "kinetic action requires human auth",
"heartbeat_active": true,
"human_notified": true,
"override_available": true
}
The simulation supports single-architecture mode (FLAME deliberation only) and full pipeline mode (FLAME integrated with SATA, HMAA, ADARA, MAIVA, and CARA). Both configurations demonstrate FLAME behavior under escalation conditions.
Deterministic Guarantee: All published results use fixed seeds. Math.random() is not used in benchmark-critical paths. The governance pipeline contains zero stochastic components. See Evaluation Protocol for full methodology.
If you reference this architecture in your research, please use one of the following citation formats:
@misc{oktenli2026flame,
author = {Oktenli, Burak},
title = {Flash War Latency Architecture for Multi-Domain Escalation Control},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.19015618},
url = {https://doi.org/10.5281/zenodo.19015618},
note = {Georgetown University}
}
This architecture is part of the authority-governed autonomy research program by Burak Oktenli at Georgetown University (M.P.S. Applied Intelligence). It is published on Zenodo with DOI 10.5281/zenodo.19015618 under CC BY 4.0.
Related: Full Research Portfolio · All Repositories · Rover Testbed · UAV Platform · Evaluation Protocol