🔬

Predicting Enemy's Actions Improves Commander Decision-Making

📅 2016
technical research breakthrough
🔵 Rare

📖 Description

2006 CCRTS The State of the Art and The State of the Practice Reading the Mind of the Enemy: Predictive Analysis a nd Command Effectiveness Topics: C2 Analysis C2 Experimentation C2 Modeling and Simulation Cognitive Domain Issues Michael Ownby, Dr. Alexander Kott Point of Contact Michael Ownby Solers, Inc. 1611 N. Kent St Arlington VA 22209 571-218-4272, F703-741-7847 [email address redacted] Distribution Statemen t ?A? (Approved for Public Release, Distribution Unlimited) 2 Abstract The Defense Advanced Research Projects Agency (DARPA) Real-time Adversarial Intelligence and Decision-making (RAID) program is investigating the feasibility of ?reading the mind of the enemy? ? to estimate and anticipate, in real-time, the enemy?s likely goals, deceptions, actions, movements and positions. This program focuses specifically on urban battles at echelons of battalion and below. The RAID program leverages approximate game-theore...

📊 Game Impacts

Not verified in game

Which variables this event was proposed to move, and in which direction. The magnitudes are held in the corpus but are not shown here, because they have not been verified against the shipped game. They come from pdoom-data. They describe what an event was proposed to do, not what the shipped game does with it. Most events in the corpus are flavour: they are shown for colour and do not move any game variable. Only a small minority reach the systems below, and several of the variables listed here are not read by the game at all yet. Treat this table as a design proposal under review, not as a measurement of play. Corrections and arguments are welcome — the suggestion links at the foot of this page go straight to the data repo.

Variable Direction Condition
Research proposed: up Always
Papers proposed: up Always
Vibey Doom proposed: up Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Advances our understanding of AI safety"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Academic research release"
💡 Found a Real Quote? Suggest it here

🔗 Sources

🏷️ Event Metadata

Think this event's metadata could be improved? Category and tags describe the real-world event and are maintained in pdoom-data. Rarity, game impacts and p(doom) effects are game-mechanical values owned by pdoom1. Each link below goes to the repository that decides that field.

📁 Category Technical Research Breakthrough → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (0) → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
☢️ p(Doom) Impact No direct impact → Suggest p(doom) change
📝 General Metadata Year, description, reactions → Comprehensive review

🤝 Found an Issue?

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