> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.umnai.com/concepts/model-concepts/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.umnai.com/_mcp/server.

# Model concepts

## Docs

- [Explainable Neural Net (XNN)](https://docs.umnai.com/concepts/model-concepts/explainable-neural-net-xnn.md): Understand the predictive model structure behind Umnai explanations.
- [Explanation Structure Model (ESM)](https://docs.umnai.com/concepts/model-concepts/explanation-structure-model-esm.md): Understand how Umnai organises model outputs into structured explanations.
- [Induction](https://docs.umnai.com/concepts/model-concepts/induction.md): Understand how the platform creates model structure from training data.
- [Neuro-symbolic AI and hypergraph models](https://docs.umnai.com/concepts/model-concepts/neuro-symbolic-ai-and-hypergraph-models.md): Understand the modelling approach behind XNNs and ESMs.
- [Symbolic reasoning](https://docs.umnai.com/concepts/model-concepts/symbolic-reasoning.md): Understand how explicit concepts, rules, and reasoning strategies support explanations.