This is a high-quality collection of resources on Artificial General Intelligence (AGI) and Computational Cognitive Sciences, bridging the gap between how humans learn and think and machine intelligence.
Why It's Notable
This repository stands out as a carefully curated resource focusing on the rapidly growing interdisciplinary field between AGI and Computational Cognitive Sciences. It synthesizes knowledge from diverse fields such as artificial intelligence, statistics, formal logic, cognitive psychology, and computational philosophy, providing a comprehensive view of how to integrate knowledge to build human-level intelligent systems.
Who It's For
This repository is ideal for researchers, students, and enthusiasts looking to dive deep into AGI and Computational Cognitive Sciences. Whether you are a beginner or experienced, if you are interested in developing machine intelligence based on how humans learn and think, this is the resource for you.
Quick Comparison
While there are no direct competitors focusing precisely on the intersection of AGI and Computational Cognitive Science, you can refer to more general "awesome" lists like awesome-machine-learning for broader AI resources, or awesome-deep-learning if your focus is on deep learning.
Getting Started
To explore the resources, simply visit the GitHub repository directly and navigate through the well-organized table of contents. [Access Repo](https://github.com/yuzheshi/awesome-agi-cocosci)
Repo: yuzheshi/awesome-agi-cocosci • ?★