finding

active

finding:chronic-pain-agent-achieves-m-4235-5-sd-180-3-cor-in-non-stationary-all-category-n-300-highest-across-all-chronic-results

Chronic pain agent achieves M=4235.5, SD=180.3 COR in non-stationary All category (n=300), highest across all chronic results

Peak performance of chronic pain agents across all reward categories in non-stationary environment

Source paper

extracted_from

Exploration Through Introspection: A Self-Aware Reward Model

(2026) · Michael Petrowski · Milica Gašić

Neighborhood — ranked by edge-count

Claims (2)

claim

Introspective agents generally outperform standard no-pain baseline agents across environments and reward categories
associated_withsupports
Central empirical claim of the paper supported by statistical tests
The chronic pain model outperforms the normal pain model in non-stationary environments despite producing negative well-being
supports
Surprising finding that maladaptive perception can yield superior task performance in changing environments

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.

No-pain baseline achieves M=1586.5, SD=631.2 COR in non-stationary Objective-only category (n=300)finding0.818
Baseline for non-stationary Objective-only; dramatically lower than both pain models
Chronic pain agent accumulates negative cumulative well-being across its entire lifetime in non-stationary environmentfinding0.811
Key behavioral signature of chronic model paralleling human chronic pain experience
Normal (α=0.9) and chronic (α=0.1) agents in Objective-only non-stationary category perform best with opposite learning ratesfinding0.804
Suggests fundamental differences in learning dynamics between normal and chronic perception models
The chronic agent's high performance despite negative well-being aligns with findings on chronic pain and quality of life in humansclaim0.798
Cross-domain interpretive claim linking computational results to human chronic pain literature
Normal pain agent maintains mostly positive cumulative well-being and recovers before finding food after changefinding0.774
Contrasts with chronic agent; normal model provides stable exploration bonus without addiction-like dynamics
Chronic pain agent's momentary well-being recovers to zero only when visiting the food statefinding0.767
Demonstrates relief-seeking behavior pattern analogous to addiction in the chronic agent
The chronic pain agent's relief-seeking cycle provides a computational parallel to negative reinforcement in addictionclaim0.760
Author's psychological interpretation of chronic agent behavior as analogous to addiction dynamics
Introspective agents show statistically significant improvement (p≪0.05) over no-pain baselines across most reward categories and both environmentsfinding0.747
Main empirical result of the paper establishing general superiority of introspective agents