COLAB2/midca

The Metacognitive Integrated Dual-Cycle Architecture (MIDCA)

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The Metacognitive Integrated Dual-Cycle Architecture (MIDCA) is a framework for developing artificial intelligence that can monitor and improve its own decision-making processes. It takes in various forms of information, like observations and goals, and produces actions alongside self-evaluations and adjustments to its internal reasoning. This is for AI researchers or cognitive scientists building intelligent agents capable of learning and adapting autonomously.

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Use this if you are designing AI systems that need to reflect on their own performance, identify errors, and modify their strategies over time.

Not ideal if you need a simple, pre-trained AI for a specific, narrow task without self-monitoring or learning capabilities.

artificial-intelligence cognitive-science autonomous-systems meta-learning AI-research
Stale 6m No Package No Dependents
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Adoption 7 / 25
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27

Forks

7

Language

Python

License

MIT

Last pushed

Jun 13, 2023

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