The chronic pain agent's relief-seeking cycle provides a computational parallel to negative reinforcement in addiction

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• The chronic agent's high performance despite negative well-being aligns with findings on chronic pain and quality of life in humansclaim0.803
  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 changefinding0.796
  Contrasts with chronic agent; normal model provides stable exploration bonus without addiction-like dynamics
• Negative Reinforcement in Addictionconcept0.770
  Mechanism by which relief from negative state drives behavior; paralleled by chronic pain agent's relief-seeking
• Chronic pain agent achieves M=4235.5, SD=180.3 COR in non-stationary All category (n=300), highest across all chronic resultsfinding0.760
  Peak performance of chronic pain agents across all reward categories in non-stationary environment
• Meta-analysis demonstrates negative affect, physical pain, and cognitive control activate an overlapping region of the anterior midcingulate cortex functioning as a domain-general evaluative hubfinding0.759
  Meta-analytic convergence supporting inseparability of evaluative and affective processing in ACC
• The chronic pain model outperforms the normal pain model in non-stationary environments despite producing negative well-beingclaim0.757
  Surprising finding that maladaptive perception can yield superior task performance in changing environments
• "Pain is a core component of adaptive learning...signals that encode internal evaluations that guide the agent through complex environments."quote0.746
  Load-bearing motivation for using pain as a learning signal in the computational framework
• "stress, care, and intelligence manifest in continuous loops" such that successful stress relief automatically reveals new stress constellations.concept0.739