# Modelling supra-classical logic in a Boltzmann neural network: I representation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/modelling-supra-classical-logic-in-a-boltzmann-neural-network-i-representation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Glenn Blanchette,Anthony Robins,Willem Labuschagne |
| Citations | 2 |
| DOI | 10.1093/logcom/exab054 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3197311441 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Glenn Blanchette](https://scholariq.org/researchers/glenn-blanchette/)

## Paper primary topic

- [Logic, Reasoning, and Knowledge](https://scholariq.org/topics/logic-reasoning-and-knowledge/)

## Paper topics

- [Logic, Reasoning, and Knowledge](https://scholariq.org/topics/logic-reasoning-and-knowledge/)
- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)
- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.