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Category Archives: Theory
Symbolic and Neural Nets: Two Sides of the Same Coin
Deep learning and neural nets are all the rage, today, and have displaced symbolic AI systems in most applications. It’s commonly believed that the two approaches have nothing to do with each other; that they’re just completely different, and that’s … Continue reading
Posted in Theory
Tagged Bayesian Network, dependency grammar, linguistics, link-grammar, Machine Learning, Natural Language Processing, Neural Network, NLP
1 Comment
Inference Meta-Learning (part I)
This is the introductory part of a blog series about my work on inference control learning for OpenCog. It introduces the problematic, an initial design solution and some early results. More interesting results will come in subsequent parts. Introduction Inference … Continue reading
Posted in Development, Theory
3 Comments
Smart Contract Blockchains
Blockchains and smart contracts are all the rage, these days. What does this have to do with OpenCog? Let me explain. TL;DR: The idea of a block-chain comes from the idea of block ciphers, where you want to securely sign … Continue reading
Posted in Design, Theory, Uncategorized
2 Comments
Many Worlds: Reasoning about Reasoning
When one reasons about the world, what is one actually doing? This post is about that. Its also about some abstract nonsense. Continue reading
Posted in Design, Development, Theory
8 Comments