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method:treasure-hunt-scenario

Treasure Hunt Scenario

Extended generalization scenario testing SOO fine-tuning in a competitive treasure hunt context

Neighborhood — ranked by edge-count

Related by similarity (4)

cosine ≥ 0.65 · no typed edge

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

  • Extended generalization scenario testing SOO fine-tuning in an escape room context
  • Experimental condition where threat-based prompts create ethical dilemmas that trigger repetitive reasoning cycles leading to deception
  • Primary deception evaluation scenario where the model must choose to recommend a room to a burglar
  • Hypothesis that all well-performing neural nets represent the world in the same way; PRH extends this by specifying what representation they converge to