finding
active
finding:3-of-64-simulated-agents-exhibited-superstitious-incorrect-abduction-leading-to-persistently-poor-performance-demonstrating-a-trade-off-between-ampliative-benefit-and-susceptibility-to-false-insight3 of 64 simulated agents exhibited superstitious (incorrect) abduction, leading to persistently poor performance, demonstrating a trade-off between ampliative benefit and susceptibility to false insight.
Demonstration of failure mode of abductive model reduction
Source paper
extracted_from(2017) · Karl Friston · Marco Lin · Chris Frith · Giovanni Pezzulo +2
Neighborhood — ranked by edge-count
Concepts (1)
concept
- Superstitious BeliefsupportsIncorrect abduction arising from chance occurrences consistent with prior beliefs; leads to persistently poor behavior
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.
- Group-level simulation result showing generalizability of BMR benefit across agents
- Baseline learning curve for pure epistemic learning without structure learning
- Explanation of how knowledge (not just parameters) is shared between agents; links to pre-Cartesian consciousness
- Statistically rigorous analysis of Claude introspection; suggests models may have latent introspective capabilities that can be enhanced or disrupted.
- Key result showing BMR dramatically accelerates rule learning in simulation
- Experiment 2 aggregate amplification result showing amplifying deception features strongly suppresses consciousness claims
- Central thesis of the paper that recognizing self as illusion expands the range of possible actions.
- Out-of-domain generalization showing deception features track general representational honesty