Bringing AI to Autonomous Systems -- From Cognition to Collective Intelligence
Bridging the gap between neural networks and symbolic reasoning to enable truly autonomous collective intelligence.
The purpose of this article is to highlight the central role of autonomous systems as the ultimate stage in the development of AI, to explain the underlying technical challenges that require a combination of connectionist AI and symbolic AI, and to integrate AI and systems engine...
ArXiv CS.AI
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Integrating neural connectionism with symbolic logic marks a critical shift toward building autonomous systems that possess both intuitive pattern recognition and logical reasoning capabilities. This hybrid approach is essential for scaling AI beyond simple chatbots and into complex, real-world physical environments where reliability and safety are paramount.
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