d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
81 lines
2.7 KiB
Markdown
81 lines
2.7 KiB
Markdown
# exo-exotic
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Exotic cognitive experiments for EXO-AI. A laboratory crate that
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implements speculative and frontier cognitive phenomena, providing
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building blocks for research into non-standard AI architectures.
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## Features
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- **Strange loops** -- self-referential feedback structures (Hofstadter).
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- **Dream generation** -- offline generative replay for memory consolidation.
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- **Free energy minimization** -- active inference (Friston) to reduce
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prediction error.
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- **Morphogenesis** -- developmental growth rules for self-organisation.
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- **Collective consciousness** -- shared awareness across substrates.
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- **Temporal qualia** -- subjective time as a first-class object.
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- **Multiple selves** -- parallel competing/cooperating identity models.
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- **Cognitive thermodynamics** -- entropy production and efficiency tracking.
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- **Emergence detection** -- phase transitions in cognitive networks.
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- **Cognitive black holes** -- information-trapping attractor dynamics.
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- **Domain transfer** -- cross-domain knowledge migration strategies.
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## Quick Start
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Add the dependency to your `Cargo.toml`:
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```toml
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[dependencies]
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exo-exotic = "0.1"
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```
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Basic usage:
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```rust
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use exo_exotic::{DreamEngine, StrangeLoop, ExoticExperiments};
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// Run a dream consolidation cycle
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let mut dreamer = DreamEngine::with_creativity(0.8);
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dreamer.add_memory(vec![0.1, 0.2, 0.3, 0.4], 0.7, 0.9);
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let report = dreamer.dream_cycle(100);
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println!("Creativity: {:.2}", report.creativity_score);
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// Create a strange loop
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let mut sl = StrangeLoop::new(10);
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sl.model_self();
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println!("Self-model depth: {}", sl.measure_depth());
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// Run all experiments at once
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let mut suite = ExoticExperiments::new();
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let results = suite.run_all();
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println!("Overall score: {:.2}", results.overall_score());
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```
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## Crate Layout
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| Module | Purpose |
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|-------------------|------------------------------------------|
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| `strange_loops` | Self-referential feedback structures |
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| `dreams` | Offline generative replay |
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| `free_energy` | Active inference engine |
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| `morphogenesis` | Developmental self-organisation |
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| `collective` | Multi-substrate shared awareness |
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| `temporal_qualia` | Subjective time representation |
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| `multiple_selves` | Parallel identity models |
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| `thermodynamics` | Cognitive entropy and energy tracking |
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| `emergence` | Phase transition detection |
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| `black_holes` | Attractor dynamics and escape methods |
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## Requirements
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- Rust 1.78+
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- Depends on `exo-core`
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## Links
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- [GitHub](https://github.com/ruvnet/ruvector)
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- [EXO-AI Documentation](https://github.com/ruvnet/ruvector/tree/main/examples/exo-ai-2025)
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## License
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MIT OR Apache-2.0
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