concept
active
concept:anchor-agent-setAnchor Agent Set
Fixed set of representative task-solving agents (Opus 4.6, Sonnet 4.6, Qwen3-235B) used to compute harness-updating capability metrics
Neighborhood — ranked by edge-count
Methods (1)
method
- Harness-Updating Gain (Δupdate)associated_withMetric measuring harness-updating capability as the mean pairwise gain across an anchor agent set
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- External structure (in-context examples, retrieval, tuning) that biases latent pattern activation.
- Any autonomous system including living and non-living forms that embodies a perception-action cycle and tries to navigate and persist in an environment
- Fixed set of representative evolvers (Opus 4.6, Sonnet 4.6, Qwen3-235B) used to compute harness-benefit capability metrics
- The external non-parametric context and infrastructure (prompts, skills, memories, tools) through which an LLM is deployed for task execution
- Composite score S = ρd − dr − log k predicting anchoring success.
- Benchmark evaluating LLMs as interactive agents in tool-use settings, cited.
- Stress is a systemic response to setpoint deviations that scales up homeostatic loops and binds subunits into a larger Self.
- Synthetic agents (here RL-trained neural networks) whose causal emergence was previously largely unknown; the paper addresses this gap.