Purpose

This page translates the Paradigm of the Great Life into operational entry points for active researchers. The goal is not to replace existing formalisms but to add an explicit “subjective leg” that yields new questions, measurements, and controls.

Common ground (all fields)

• Dual stance: Pair objective constraints (equations, conservation, statistics) with an explicit agent layer (models, priors, goals, control policies).
• Minimal agent criterion: closed-loop control that measurably changes future data; model improvement over time under constraints.
• Measures to watch: surprisal ($−log Q$), cross-entropy, KL divergence, predictive error/free energy, control cost, work from coherence/structure.

Quantum foundations and quantum control

Operational bridge

• Keep standard quantum dynamics. Add an explicit “closing the loop” layer when a measurement basis is chosen and outcomes drive feedback (measurement-based control).
• Read: Quantum Foundations, Quantum Control & Feedback, Operational Criteria.

Prompts

1. Quantum trajectories with adaptive bases

• Task: Implement real-time basis selection driven by an agent-model to minimize predictive error over a horizon.
• Measure: reduction in time-averaged negative log-likelihood of observed outcomes vs static bases; energy/information trade-off.
• Tools: quantum trajectories, Bayesian filters, reinforcement learning controllers.

2. Coherence-to-work conversion as “delegation events”

• Task: Map control sequences that convert off-diagonals (resource theory of coherence) into extractable work or mutual information.
• Measure: work per unit coherence consumed; robustness to noise; informational gain per control bit.

3. Phase as context, modulus as statistics

• Task: Design interferometric protocols where phase encodes task-relevant “context relations,” and agent choice of basis exposes them as observables.