Metadata-Version: 2.4
Name: creating-intelligence
Version: 0.1.0a4
Summary: A computational foundation for AGI, based on hyperdimensional sparse data and framed in set theory.
Author-email: Peter Overmann <mail@creatingintelligence.org>
License-Expression: MIT
Project-URL: Homepage, https://creatingintelligence.org
Project-URL: Documentation, https://creatingintelligence.org/docs
Project-URL: Repository, https://github.com/peterovermann/creatingintelligence
Keywords: artificial intelligence,computational theory of mind,hyperdimensional computing,sparse distributed representations,topological associative memory,subset matching algorithm,spiking neural networks,neuromorphic computing,theoretical neuroscience
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: matplotlib>=3.5.0
Requires-Dist: networkx>=2.8.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: pydot>=1.4.2
Requires-Dist: python-dotenv>=0.21.0
Requires-Dist: scipy>=1.8.0

# Creating Intelligence

A computational foundation for AGI, based on hyperdimensional sparse data and framed in set theory. 

The mind performs computations on sparse binary data using Sparse Distributed Representations (SDRs) for perceptual information and Sparse Holographic Representations (SHRs) for symbols. The centerpiece of this project is Topological Associative Memory — a newly discovered associative memory for sparse data, serving as the computational kernel that models the brain's core algorithm.

### Links

* **Website:** https://creatingintelligence.org
* **Documentation:** https://creatingintelligence.org/docs
* **GitHub Repository:** https://github.com/PeterOvermann/CreatingIntelligence
* **Preprint:** [arXiv:2606.31819](https://arxiv.org/abs/2606.31819)

### Installation


```bash
pip install creating-intelligence
```

