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# Cloud-Native Modular Cognitive Warfare Simulation Platform
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## Introduction
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Modern conflicts increasingly target the cognitive domain – the perceptions, decision-making, and behavior of people – as much as physical targets. Cognitive warfare (CogWar) leverages information attacks, psychological operations, and cyber tactics to **“alter and shape the way humans think, react, and make decisions,”** often in invisible and invasive ways. Preparing warfighters to counter such threats requires training beyond traditional kinetic wargames. However, current training for information/cognitive warfare is lacking. Trainees rarely experience realistic simulations of social-media-fueled attacks or misinformation campaigns preceding cyber strikes. Instead, most cyber-defense exercises today are simplistic tabletop drills with scripted injects, failing to immerse trainees in the chaotic information environment that characterizes real incidents.
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Introduction
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Recognizing this gap, the Navy’s SBIR topic N252-110 calls for **“a simulation model of information warfare”** that realistically represents multi-modal attacks – specifically cyber-attacks and their social media precursors. The envisioned system would enable live, virtual, constructive exercises where information conflict plays a key role, complete with tools to help exercise planners manage complex scenarios and provide White Cell adjudication support. In short, the Navy needs a realistic, rapidly updatable simulation environment blending cyber and information warfare elements for training purposes.
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Cognitive Warfare (CogWar), for our purposes, represents the next evolution in Cyberwarfare—moving "beyond the bits and bytes" into the domain of perception, decision-making, and human behavior. Often synonymous with Social Engineering, CogWar reshapes classical Game Theory from a purely strategic, rules-based decision framework into an applied methodology that actively alters these rules and utility curves—either directly or indirectly—to influence adversary behavior in the real world. At its core, Cognitive Warfare is about bending information strategically to manipulate the perceptions and, consequently, the actions of adversaries. Importantly, this approach must acknowledge potential blowback; manipulating perceptions externally will inevitably impact the aggressor's own populace, necessitating careful strategic calibration.
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This whitepaper proposes the development of a **cloud-native, modular cognitive warfare simulation platform** to meet these needs. Our approach centers on three integrated components working in tandem:
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In the realm of Poli-Economic Strategy, attempts to exert economic pressure on adversaries, while intuitively appealing, are complex and risky. Macroeconomics does not function as a zero-sum game; favorable outcomes for one actor can inadvertently create equal or greater advantages for opponents, exemplified clearly in tariff wars. Thus, the externalities—both positive and negative—associated with economic strategies must be diligently considered.
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1. **Hybrid Simulation Engine (Agent-Based Modeling + LLM):** Combines agent-based modeling of actors/networks with large language model (LLM)-generated dynamic social and narrative content, simulating information spread and generating realistic messages, posts, and reports.
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As modern conflicts increasingly target cognitive domains alongside physical ones, realistic and robust training environments are vital for warfighters to effectively counter these threats. Traditional kinetic wargames and simplistic tabletop drills no longer suffice, particularly given the prevalence of social-media-driven misinformation campaigns that precede and amplify cyber attacks.
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2. **Real-Time Scenario Adaptation via Reinforcement Learning:** An AI-driven agent using reinforcement learning (RL) to dynamically adjust scenarios based on trainee performance and unfolding events, calibrating difficulty to ensure optimal training engagement.
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Addressing this critical training gap, the Navy’s SBIR topic N252-110 explicitly calls for "a simulation model of information warfare," demanding realistic representation of multi-modal cognitive and cyber-attacks, particularly those leveraging social media. This whitepaper proposes a sophisticated solution: a cloud-native, modular cognitive warfare simulation platform comprising three synergistic components:
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3. **Gamified User Interfaces for Red, Blue, and White Cells:** Role-specific interfaces engaging participants through interactive decision-making, real-time communication, and immersive scenario management, mimicking real-world information environments.
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Hybrid Simulation Engine (Agent-Based Modeling + Large Language Models): Combines agent-based modeling with dynamic, LLM-generated content, providing realistic simulations of information spread and human interactions.
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Together, these components form a cohesive system that fulfills the SBIR’s goals of creating realistic, multi-modal training exercises for information/cognitive warfare. The platform will allow trainees to experience fully interactive cyber-information attack scenarios—from social media manipulation through coordinated cyber strikes, all running on a cloud-based architecture enabling rapid updates and scalability.
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Real-Time Scenario Adaptation via Reinforcement Learning: Employs AI-driven reinforcement learning to dynamically adjust scenarios based on trainee responses, optimizing engagement and learning.
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Gamified User Interfaces for Red, Blue, and White Cells: Provides immersive, role-specific interfaces for interactive training, decision-making, and scenario management.
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Together, these components ensure warfighters experience comprehensive, immersive cognitive warfare scenarios—from subtle social engineering efforts to overt cyberattacks—in an adaptable, scalable, and realistic cloud-based environment.
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