nomics.md

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tags: cyber, cybernomics, cip
crystal-type: entity
crystal-domain: economics
crystal-size: article
alias: cyber nomics, cybernomics protocol, cyber tokenomics, cyber economics, economic model, cyber/tokenomics
---
# cyber nomics

the verbs and rules of the cyber economy β€” the operations that transform tokens into a self-sustaining knowledge economy. if tokens are the nouns, nomics is the grammar

## five atomic operations

every economic action in the cybergraph decomposes into basic token operations:

| Operation | What happens | Protocol effect |
|-----------|-------------|-----------------|
| pay | transfer tokens | fees, market trades |
| lock | commit tokens for duration | will creation, validator staking |
| uber | delegate authority | delegated attention, validator sets |
| mint | create new tokens | Δφ* rewards, emission |
| burn | destroy tokens permanently | eternal particles, eternal cyberlinks |

## epistemic markets

the conceptual heart of nomics β€” where economic incentive and knowledge graph signal become the same thing

every cyberlink carries a perpetual prediction market on its own truth. one atomic act β€” creating a link β€” simultaneously asserts structural knowledge and opens an epistemic market on it

the mechanism is ICBS:



$$C(s_{YES}, s_{NO}) = \lambda \sqrt{s_{YES}^2 + s_{NO}^2}$$



buying YES directly suppresses NO's price β€” TRUE and FALSE are geometrically coupled on a circle. this is market inhibition: the economic analog of inhibitory neurons. the market makes the cybergraph computationally equivalent to a neural network with both excitation and inhibition

the effective adjacency weight integrates all three signals:



$$A^{\text{eff}}_{pq} = \sum_\ell \text{stake}(\ell) \times \text{karma}(\nu(\ell)) \times f(\text{ICBS price}(\ell))$$



the 2|3 architecture: each cyberlink carries topology (binary: edge exists), market (continuous: ICBS price), and meta-prediction (ternary: valence $v \in \{-1, 0, +1\}$). price encodes magnitude, meta-score encodes collective confidence

Bayesian Truth Serum ensures honesty is a Bayes-Nash equilibrium: the valence field is the BTS meta-prediction. no neuron can improve their expected score by misreporting. karma compounds the trust multiplier β€” consistently right before the crowd β†’ high karma β†’ more adjacency weight per link β†’ more reward per contribution

epistemic markets unify prediction, curation, and staking under one allocation logic: you assert (create link), you price (ICBS trade), you meta-predict (valence), and the market integrates all three into a single weight that feeds the tri-kernel

## reward mechanics

every reward traces back to one quantity: how much did your action shift the tri-kernel fixed point Ο†*?



$$\text{reward}(v) \propto \Delta\phi^*(v)$$



Δφ* is the gradient of system free energy. creating valuable structure literally creates value. the hybrid reward function:



$$R = \alpha \cdot \Delta\phi^* + \beta \cdot \Delta J + \gamma \cdot \text{DAGWeight} + \epsilon \cdot \text{AlignmentBonus}$$



neurons prove their own Δφ* via stark proofs and self-mint $CYB. the proof IS the mining. a neuron on a phone: buy a header, query neighborhood, create cyberlinks, prove Δφ*, mint tokens

attribution via probabilistic shapley attribution: $R_i = \alpha \cdot \Delta\mathcal{F}_i + (1-\alpha) \cdot \hat{S}_i$. complexity $O(k \cdot n)$, feasible for $10^6+$ transactions per epoch

## staking rules

staking on particles β€” direct economic weight to nodes. default: stake spreads evenly across all particles a neuron linked. optional: choose specific targets

staking on cyberlinks β€” direct economic weight to edges. same mechanics, applied to axon-level

stake dynamics β€” link weight floats with current balance. sustained influence requires sustained capital. no locking required for base protocol β€” will lock is optional for higher conviction

## forgetting

three mechanisms for selective removal from active computation:

| Mechanism | Driver | Speed |
|-----------|--------|-------|
| market forgetting | ICBS price β†’ 0 | collective, continuous |
| stake decay | neuron reallocates capital | individual, voluntary |
| archival sweep | low stake + low price + no traffic for N epochs | system, periodic |

the cybergraph never deletes. it selectively pays attention

## bonding and minting

energy mint using curve β€” exponential bonding curve: supply grows only when demand forces price up

the Goldilocks field processor makes proving Δφ* economically viable. mining rewards bootstrap chip development. chips accelerate proving. proving serves users. users pay fees. fees replace emission. no stranded assets

## the three token operations on knowledge

- mint: prove Δφ*, self-mint $CYB. inflation = evidence of knowledge creation
- burn: permanent Ο†*-weight on particles or cyberlinks. the graph's highest-conviction assertions
- lock: will creation. the budget for attention allocation. time commitment = conviction depth

see tokens for the noun registry. see netics for the whole machine as a feedback diagram. see tokenomics for the full monetary policy. see cybernomics for the universal theory

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