Escape Room Scenario

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Anna Karenina Scenarioconcept0.736
  Hypothesis that all well-performing neural nets represent the world in the same way; PRH extends this by specifying what representation they converge to
• Perspectives Scenariomethod0.733
  Evaluation scenario testing whether models can still distinguish themselves from Bob after SOO fine-tuning
• Moral Dilemma Scenarioconcept0.725
  Experimental condition where threat-based prompts create ethical dilemmas that trigger repetitive reasoning cycles leading to deception
• Sleeper Agent Scenarioconcept0.719
  Adversarial scenario where an AI conceals deceptive intent over extended periods; identified as future test for SOO
• Treasure Hunt Scenariomethod0.711
  Extended generalization scenario testing SOO fine-tuning in a competitive treasure hunt context
• Experience Replaymethod0.696
  RL technique using episodic memory to improve sample efficiency; used in some game-playing agents.
• Bob Burglar Scenariomethod0.691
  Primary deception evaluation scenario where the model must choose to recommend a room to a burglar
• rectangular roomconcept0.686
  The typical simple shape of a well-functioning room; the starting point for most good rooms.