cognition 0.0.1

# Cognition


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[![License](https://img.shields.io/badge/license-MIT%2FApache--2.0-blue.svg)](LICENSE)

A cognitive computing library for Rust providing foundational structures and algorithms for intelligent systems.

## Features


- **Neuron Model**: Simple artificial neuron implementation with configurable activation thresholds
- **Activation Functions**: Common activation functions including sigmoid and ReLU
- **Extensible Design**: Clean, composable APIs for building more complex cognitive systems

## Quick Start


Currently, don't.  This crate is barely functional and not ready for production use.  It will evolve quickly and be ready for use beyond me soon.  However, if you must use this crate, here's how:

Add this to your `Cargo.toml`:

```toml
[dependencies]
cognition = "0.0.1"
```

### Basic Usage


```rust
use cognition::{Neuron, utils};

// Create a neuron with a threshold of 0.5
let neuron = Neuron::new(0.5);

// Activate the neuron with inputs
let output = neuron.activate(&[0.3, 0.4]); // Returns 1.0 (activated)

// Use activation functions
let sigmoid_result = utils::sigmoid(1.0);
let relu_result = utils::relu(-0.5);
```

## Examples


### Creating a Simple Neural Network


```rust
use cognition::Neuron;

// Create multiple neurons for a simple network
let input_layer = vec![
    Neuron::new(0.3),
    Neuron::new(0.7),
];

let hidden_layer = vec![
    Neuron::new(0.5),
];

// Process inputs through the network
let inputs = vec![0.8, 0.2];
let hidden_inputs: Vec<f64> = input_layer
    .iter()
    .map(|neuron| neuron.activate(&inputs))
    .collect();

let output = hidden_layer[0].activate(&hidden_inputs);
println!("Network output: {}", output);
```

## Development


### Building


```bash
cargo build
```

### Testing


```bash
cargo test
```

### Documentation


```bash
cargo doc --open
```

### Publishing


This crate is ready for publishing to crates.io. Make sure to:

1. Update your author information in `Cargo.toml`
2. Set up your repository URLs
3. Ensure you have a crates.io account and API token
4. Run `cargo publish --dry-run` to verify everything is ready
5. Publish with `cargo publish`

## Contributing


Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

## License


This project is licensed under either of

- Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or <http://www.apache.org/licenses/LICENSE-2.0>)
- MIT license ([LICENSE-MIT](LICENSE-MIT) or <http://opensource.org/licenses/MIT>)

at your option.

## Roadmap


- [ ] Add more sophisticated neural network architectures
- [ ] Implement backpropagation algorithms
- [ ] Add support for different neuron types
- [ ] Performance optimizations with SIMD
- [ ] GPU acceleration support
- [ ] More activation functions
- [ ] Integration with popular ML frameworks