# configuration/reason/data/math.kind.data.json

> 93 lines of code and 0 definitions.

Tree: GovLab Context
Language: json
Layer: domain
Canonical: https://banes-lab.com/anatomy/context#file-context-configuration-reason-data-math-kind-data-json
Source text: https://banes-lab.com/source/context/configuration/reason/data/math.kind.data.json.txt

Listed in [configuration/reason/data](https://banes-lab.com/api/source/context/configuration/reason/data.md), after [configuration/reason/data/math.domain.data.json](https://banes-lab.com/source/context/configuration/reason/data/math.domain.data.json.md) and before [configuration/reason/data/mode.data.json](https://banes-lab.com/source/context/configuration/reason/data/mode.data.json.md).

## Contained in

- [configuration/reason/data](https://banes-lab.com/anatomy/context/folder-context-configuration-reason-data.md)

## Source

```json
{
    "check": {
        "by": [
            "the yields check, which holds every algorithm's yields and every node's answer shape within the math type's shapes",
            "the ontology resolution gate over every record that names the math type"
        ],
        "population": "every algorithm record, node, axis and substrate node that names the math type",
        "freshness": "a verdict stands until the math type's shapes or a record that names it changes",
        "refusal": "the gate fails on a yield or answer shape outside the type's shapes, or a reference to a type that does not exist",
        "observation": "none: a math type is a family of answers, and nothing observes it while a run executes",
        "evidence": "fires-and-accepts: one suite plants a node with a dangling math type, another plants an answer shape outside the type's shapes, and the bundled data validates clean",
        "authority": "the math type's shapes, which every yield and answer shape conforms to"
    },
    "records": [
        {
            "id": "set-theory",
            "domains": ["set-theory"],
            "question": "What members exist?",
            "predicateFamily": "membership · cardinality · emptiness",
            "yieldsShape": "set | boolean | ratio"
        },
        {
            "id": "logic",
            "domains": ["logic"],
            "question": "Does it hold, and what follows from it?",
            "predicateFamily": "boolean predicate",
            "yieldsShape": "boolean"
        },
        {
            "id": "graph",
            "domains": ["category-theory"],
            "question": "What connects what?",
            "predicateFamily": "reachability · coverage · degree",
            "yieldsShape": "edge-list"
        },
        {
            "id": "algebra",
            "domains": ["algebra"],
            "question": "How are parts arranged under laws?",
            "predicateFamily": "composition · ordering invariant",
            "yieldsShape": "ordered-structure"
        },
        {
            "id": "analysis",
            "domains": ["analysis"],
            "question": "How do states vary?",
            "predicateFamily": "operation applied to state",
            "yieldsShape": "operation"
        },
        {
            "id": "optimization",
            "domains": [],
            "question": "What is admissible or best?",
            "predicateFamily": "validation · threshold · argmax",
            "yieldsShape": "boolean | ranking | number"
        },
        {
            "id": "topology",
            "domains": ["topology"],
            "question": "What is preserved under change?",
            "predicateFamily": "invariant / symmetry",
            "yieldsShape": "boolean"
        },
        {
            "id": "probability",
            "domains": ["probability"],
            "question": "How certain or likely is it?",
            "predicateFamily": "confidence · distribution · counter",
            "yieldsShape": "number[0,1]"
        },
        {
            "id": "information-theory",
            "domains": ["information-theory"],
            "question": "What is novel, and how compressible is it?",
            "predicateFamily": "novelty · dedup · hash",
            "yieldsShape": "hash | novelty-score | boolean"
        },
        {
            "id": "computation",
            "domains": ["computation"],
            "question": "What procedure produces it?",
            "predicateFamily": "algorithm / loop",
            "yieldsShape": "procedure"
        },
        {
            "id": "dynamical-systems",
            "domains": [],
            "question": "What stable pattern arises, and has it converged?",
            "predicateFamily": "fixed-point · convergence · oscillation",
            "yieldsShape": "boolean | counter"
        }
    ]
}
```