Category Archives: Theory

COVID-19 Modelling and Random Social Networks

Seems like everyone wants to be an epidemiologist these days, so why not OpenCog? After all, diseases spread through networks, propagating from one node to the next. A network is a graph, the AtomSpace is a graph database, and the … Continue reading

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Value Flows

Graphs and graphical databases are now accepted as a very good (the best?) way of capturing the relationship between things. Yet, many of the “things” represented graphically are actually processes.  An example might be the water cycle in nature: rain … Continue reading

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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

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Medieval Thinking and Political AGI

A cherry picked quote from a review of a new book: “In his new book, Pearl, now 81, elaborates a vision for how truly intelligent machines would think. The key, he argues, is to replace reasoning by association with causal … Continue reading

Posted in Meta, Theory, Uncategorized | Tagged , | 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