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Two pioneering cognitive-inspired world models: Ha's 2018 World Model introduced the VAE+RNN+Controller architecture, while AMI proposes an autonomous machine intelligence framework inspired by biological cognition.
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Ha's World Model is a landmark: the first to demonstrate that an agent could learn a policy entirely inside a learned dream. AMI extends this vision toward full autonomous intelligence, proposing a modular architecture inspired by neuroscience. Ha's model is proven and foundational; AMI is a visionary framework pointing toward AGI-like world understanding.
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Choose AMI when its capabilities best match your research or deployment requirements.
Choose Ha World Model when its capabilities best match your research or deployment requirements.
Ha's World Model is a landmark: the first to demonstrate that an agent could learn a policy entirely inside a learned dream. AMI extends this vision toward full autonomous intelligence, proposing a modular architecture inspired by neuroscience. Ha's model is proven and foundational; AMI is a visionary framework pointing toward AGI-like world understanding.
| Dimension | AMI | Ha World Model |
|---|---|---|
| Inspiration | Biological autonomous intelligence | Human mental simulation / dreaming |
| Architecture | Modular cognitive architecture | VAE + MDN-RNN + Controller |
| Training | Self-supervised + intrinsic motivation | Unsupervised feature learning + evolution |
| Domain | General cognitive tasks | VizDoom, car racing |
| Key Contribution | Framework for autonomous machine intelligence | Proved agents can learn entirely in imagination |
| Year | 2024 | 2018 |
High-level scoring context for the models referenced in this comparison.
| Model | Category | Index v1.1 | Confidence |
|---|---|---|---|
| AMI World Model | Foundation World Model | 38/100 | low |
| World Models (Ha & Schmidhuber) | Model-Based RL | 48/100 | high |
| DreamerV3 | Model-Based RL | 88/100 | high |
| V-JEPA | Self-Supervised World Model | 70/100 | medium |
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Not directly. AMI is a broader cognitive architecture proposal, while Ha's model is a specific implementable system. They share the insight that internal world simulation is key to intelligence.
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Published by world-models.io editorial board.
Lead editor Bernard Grenat.
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