ReCoN-Ipsundrum: An Inspectable Recurrent Persistence Loop Agent with Affect-Coupled Control and Mechanism-Linked Consciousness Indicator Assays
Organizations: Independent Research Engineer
Abstract
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 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 (scenic-entry = 0.07). Affect coupling is stable (scenic-entry = 0.01) even when scenic is less novel (median {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.
Figures & tables
| Indicator signpost (Butlin et al.) | What we implement (minimal correspondence) | Important gaps / non-claims |
|---|---|---|
| RPT-1 (recurrent processing) | A localized recurrent loop sustaining after transient stimulus; explicit lesion of feedback+integration. | Not a neural RPT model; no learning; toy domains. |
| PP-1 (predictive processing) | Short-horizon internal rollout using a one-step forward model; epistemic term based on predicted sensory change. | Not hierarchical predictive coding; no online learning; not full active inference. |
| Interoception affect (broadly) | A body-budget proxy and valence/arousal readouts; optional modulation of gain/precision by affect. | Not physiological sensing; no rich autonomic loop; abstraction only. |
| Model | Ipsundrum recurrence | Affect proxy | Gated |
|---|---|---|---|
| ReCoN (baseline; stage B) | × | × | × |
| Ipsundrum (stage D) | ✓ | × | ✓ |
| Ipsundrum+affect (stage D) | ✓ | ✓ | ✓ |
| Assay | Setup / manipulation | Primary readouts |
|---|---|---|
| Goal-directed navigation | CorridorWorld and GridWorld with hazards; explicit progress term enabled; curiosity off; sweep planning horizon . | Hazard contacts; steps-to-goal; success rate. |
| Corridor preference with familiarity control | Two equally safe routes (scenic vs. dull). Pre-exposure manipulates lane familiarity; post episodes add a curiosity bonus from visitation memory. | Scenic-entry rate; novelty sensitivity scenic-entry; (Ipsundrum+affect) internal valence/arousal probe. |
| Exploratory play | Reward-free neutral-texture gridworld (200 steps), with curiosity enabled in the headline play condition. | Unique viewpoints; scan events; cycle score; action entropy/dwell. |
| Pain-tail | Force one hazard contact, then remove the hazard and hold the state fixed while recording planned actions for 200 steps. | Post-stimulus AUC above baseline; planned turn-rate tail duration. |
| Causal lesion | In-episode lesion at disabling ipsundrum feedback+integration (vs. sham). | Post-lesion AUC and AUC drop (150-step window). |
| CorridorWorld (all horizons) | GridWorld (all horizons) | |||||
|---|---|---|---|---|---|---|
| Model | Hazards | Time | Success | Hazards | Time | Success |
| ReCoN | 3.05[2.00,4.25] | 50.00[37.35,63.20] | 0.55[0.30,0.75] | 14.30[8.90,20.05] | 171.80[131.30,211.10] | 0.50[0.30,0.70] |
| Ipsundrum | 2.90[1.90,4.05] | 49.73[37.12,62.83] | 0.58[0.35,0.78] | 2.45[1.27,3.85] | 129.77[90.63,168.70] | 0.72[0.53,0.90] |
| Ipsundrum+affect | 0.00[0.00,0.00] | 52.71[47.16,58.40] | 0.73[0.61,0.83] | 0.26[0.10,0.44] | 9.54[4.75,16.23] | 0.99[0.97,1.00] |
| Signature (assay) | Recon | Ipsundrum | Ipsundrum+affect |
|---|---|---|---|
| Persistence in (lesion / pain-tail AUC) | |||
| Valence-stable scenic preference (familiarity control) | |||
| Structured local scanning (play: scan events) | |||
| Lingering planned caution (pain-tail: tail duration) |
Machine Consciousness
Machine consciousness studies whether artificial systems could have subjective experience and how that possibility might be assessed.
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