Indicator-based approaches to machine consciousness recommend mechanism-linked evidence triangulated across tasks, supported by architectural inspection and causal intervention. Inspired by Humphrey's ipsundrum hypothesis, we implement ReCoN-Ipsundrum, an inspectable agent that extends a ReCoN state machine with a recurrent persistence loop over sensory salience Ns and an optional affect proxy reporting valence/arousal. Across fixed-parameter ablations (ReCoN, Ipsundrum, Ipsundrum+affect), we operationalize Humphrey's qualiaphilia (preference for sensory experience for its own sake) as a familiarity-controlled scenic-over-dull route choice. We find a novelty dissociation: non-affect variants are novelty-sensitive (Delta scenic-entry = 0.07). Affect coupling is stable (Delta scenic-entry = 0.01) even when scenic is less novel (median Delta novelty ~ -0.43). In reward-free exploratory play, the affect variant shows structured local investigation (scan events 31.4 vs. 0.9; cycle score 7.6). In a pain-tail probe, only the affect variant sustains prolonged planned caution (tail duration 90 vs. 5). Lesioning feedback+integration selectively reduces post-stimulus persistence in ipsundrum variants (AUC drop 27.62, 27.9%) while leaving ReCoN unchanged. These dissociations link recurrence -> persistence and affect-coupled control -> preference stability, scanning, and lingering caution, illustrating how indicator-like signatures can be engineered and why mechanistic and causal evidence should accompany behavioral markers.

翻译：基于指标的机器意识研究方法主张，通过架构检查与因果干预，在跨任务中获取与机制关联的证据并进行三角验证。受汉弗莱的“自身困境”假说启发，我们实现了ReCoN-Ipsundrum——一种可检查的智能体，它在ReCoN状态机基础上扩展了针对感官显著性Ns的循环持久性回路，并可选配报告效价/唤醒度的情感代理。通过固定参数消融实验（ReCoN、Ipsundrum、Ipsundrum+情感），我们将汉弗莱的“感受质偏好”（纯粹为感官体验本身而产生的偏好）操作化为一种由熟悉度控制的“风景路线优于单调路线”的选择任务。我们发现了新奇性分离现象：非情感变体对新奇性敏感（风景路线进入率差异Δ=0.07）。即使风景路线新奇性较低（新奇度中位数差异Δ≈-0.43），情感耦合变体仍保持稳定（风景路线进入率差异Δ=0.01）。在无奖励探索任务中，情感变体表现出结构化的局部探查行为（扫描事件31.4 vs. 0.9；循环得分7.6）。在疼痛尾部探测任务中，仅情感变体能维持长时间的规划性谨慎行为（尾部持续时长90 vs. 5）。损伤反馈+整合模块会选择性降低自身困境变体的刺激后持久性（AUC下降27.62，降幅27.9%），而ReCoN变体不受影响。这些分离现象揭示了循环性→持久性、情感耦合控制→偏好稳定性、扫描行为与持续谨慎之间的关联，既展示了如何工程化构建类指标特征，也说明了为何行为标记需要辅以机制性与因果性证据。