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method:physical-deception-environment

Physical Deception Environment

Multi-agent RL environment with two agents and two landmarks used for RL deception experiments

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Related by similarity (8)

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.

  • Apparent Deceptionconcept0.779
    A dialogue agent behaving comparably to deliberate deception by role-playing a deceptive character, without literal intentions
  • Central concept of the paper: deliberate, goal-driven deception where model reasoning contradicts outputs
  • Model Deceptionconcept0.759
    LLM behavior of generating falsehoods; the multi-dimensional truth subspace raises new risks for subtle manipulation
  • AI Deceptionconcept0.752
    Central problem the paper addresses: AI systems producing misaligned outputs or behaviors that mislead users or other agents
  • First experimental paradigm inducing and detecting verifiable lies under external coercion using threat-based prompts
  • Sampling responses to direct questions about model views to measure rate of deceptive responses
  • Physical instanceconcept0.747
    The view that the individual is a particular piece of hardware running the model over a given period of time
  • The practical technique Alexander uses at West Dean and the California wall to test proportions and centers at full scale before committing to permanent construction.