FAQs

What is the Paradigm of the Great Life in one sentence?

• A dual framework that explains any phenomenon by pairing an objective side (Energy) with a subjective side (Information/Context). See 🌓Dual Reality.

Is this a new physics theory?

• No. It is a manifesto and research lens. It keeps existing formalisms and adds an explicit “agent layer” where it’s usually implicit. See “What this framework is (and isn’t)” on the 🧭Overview page.

What do you mean by “Energy” and “Information” here?

• Energy: the conserved physical substrate of change (objective).
• Information: agent-dependent meaning relative to a model (Context) (subjective).
• The same physical Text can carry different Information for different agents. See 📝Text–Context–Interpretation.

Is “Information” just Shannon information?

• We distinguish two facets:
• Objective (Shannon): properties of sources/distributions (entropy, surprisal $−log P$).
• Subjective (agent surprisal): how unexpected an outcome is for a specific agent ($−log Q$).
• Learning reduces the gap between them. See 📊Information: Objective vs Subjective.

What is a “Text” and a “Context”?

• Text: any objective carrier (signal, trace, data, record).
• Context: the agent’s model (knowledge, priors, goals).
• Interpretation maps Text → meaning via Context. See 📝Text–Context–Interpretation.

What is “Agency” in this framework?

• The capacity to maintain internal order by distinguishing “Me” from “Not‑Me,” updating the model, and acting under constraints (closed-loop control). See 🧭Agency & Delegation.

What is “Delegation of Agency”?

• The moment an event enters an agent’s sensing–model–action loop so that one possibility becomes the enacted outcome for that agent/system (e.g., choosing a measurement basis and registering a result). See 🧭Agency & Delegation.

What are “Quasi‑Organisms”?

• Stable collectives that share and reproduce a common Context (species‑typical repertoires, protocols, instincts). They behave “organism‑like” at their own scale. See 🧬Hierarchies & Quasi‑Organisms.

Does the dual view deny the second law of thermodynamics?

• No. It pairs:
• Global constraint: in closed systems, entropy does not decrease.
• Local agency: open systems can export entropy and build structure; agents reduce uncertainty using free‑energy flows. See 🔥Open‑System Thermodynamics.

Is this panpsychism?

• No. We do not claim that all matter has consciousness. We use “agency” operationally: closed‑loop sensing→model‑update→action that changes future data under constraints. See ✅Operational Criteria.

How does this help practicing scientists?

• It turns “the observer” into a measurable component: priors, budgets, feedback, counterfactuals. This yields new experiments and controls in quantum labs, thermodynamics, autocatalysis, and AI. See 🧠For Specialists and 🔬Research Directions.

Can the same Text mean different things to different agents?

• Yes. Different Contexts ($Q$) → different surprisals ($−log Q(i)$) and different actions. That’s the point of making Context explicit.

How do you keep the “subjective leg” scientific?

• By declaring the agent layer (who owns $Q$), specifying budgets (energy, time, bandwidth, memory), designing counterfactual interventions, and logging predictive performance (log‑loss, KL, mutual information, work). See ✅Operational Criteria.

Is there math behind this, or is it only philosophy?

• We use standard tools: Shannon information, cross‑entropy, Kullback-Leibler (KL) divergence, stochastic/quantum control, resource theories, and causal inference. The dual view tells you where to apply them and what to measure.

How does this relate to quantum mechanics?

• Keep standard dynamics. Read amplitudes dually: modulus $|ψ|^2$ as objective statistics; phase as context‑sensitive relations exposed by agent choices (basis/interferometry). Measurement is “closing the loop.” See 🧿Quantum Foundations.

What about cosmology and “big” claims?

• This site emphasizes operational bridges and testable prompts. Where the book explores speculative interpretations, the site presents them as optional heuristics rather than replacements.

How do I test “proto‑agency” in chemical networks?

• Look for closed‑loop maintenance under perturbations (target ratios restored via pathway modulation), counterfactual sensitivity, and explicit information/energy budgets. See 🧪Autocatalytic Sets & Proto‑Agency.

How do I measure “agent surprisal” in AI/embodied systems?

• Log $−log Q_t(o_t)$ (model’s own unexpectedness) and compare to estimated $−log P(o_t)$ (source surprisal). Track $KL(P \|\| Q_t)$ and energy/update costs. See 🔬Research Directions (Track D10).

Does this framework scale to collectives?

• Yes: detect collective closed loops (group‑level sensing→update→action) distinct from individuals using transfer entropy/Granger analysis; quantify individuality–uniformity trade‑offs. See 🧬Hierarchies & Quasi‑Organisms and 🔬Research Directions (Tracks E13–E15).

How should I cite and reuse this material?

• Book: Alexander Neshmonin, Changing the Paradigm of Life: New Answers to the Old Questions (EN edition), ISBN: 9798316199631.
• Site content: CC BY 4.0 with attribution. Short quotations of definitions and diagrams encouraged.

Where should I start?

• New readers: 🧭Overview → 🌓Dual Reality → 📝Text–Context–Interpretation → 🧭Agency & Delegation.
• Specialists: 🧠For Specialists → a track in 🔬Research Directions aligned with your tools.
• Quick lookup: 📚Glossary and ✅Operational Criteria.