AUTOMODS[IDEA (Discovery)]

Category: Web App

Autonomous Maritime Operations Decision Simulator is a research-driven AI-vs-AI 3D tactical simulation platform designed to study, evaluate, and evolve autonomous decision-making in complex, modern maritime environments under uncertainty.

AUTOMODS

Autonomous Maritime Operations Decision Simulator is a next-generation research and development platform focused on modeling how autonomous maritime systems perceive, decide, coordinate, and adapt in realistic future-era operational environments. Rather than simulating combat procedures directly, the system emphasizes decision quality, information flow, autonomy levels, and resilience under uncertainty. Real-world geography, modern sensing concepts, and contemporary technological constraints are represented through carefully designed abstractions that preserve credibility without operational specificity.

At its core, the simulator runs large-scale AI-vs-AI scenarios where autonomous surface vessels, subsurface platforms, and aerial systems interact within degraded, noisy, and asymmetric information environments. Each agent operates under explicit constraints such as sensor limitations, communication latency, energy budgets, and authority boundaries, forcing trade-offs between speed, stealth, coordination, and survivability. A modular doctrine and behavior framework allows agents to adopt different decision postures and coordination philosophies, enabling systematic experimentation and comparative analysis.

The platform is designed as a living research system, supported by a comprehensive wiki-based documentation and telemetry pipeline. Every simulation produces rich data for replay, evaluation, and explainable analysis, allowing researchers to identify decision inflection points, emergent behaviors, and failure modes in autonomous systems. By prioritizing transparency, reproducibility, and ethical guardrails, the simulator serves as a serious tool for studying autonomous maritime operations, complex adaptive systems, and AI decision-making at scale—bridging the gap between theoretical research and practical experimentation.

Technologies Used

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