Category Archives: Documentation

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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The MOSES Metapopulation

Or, how to select a promising species for mutation. Continue reading

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Genetic Crossover in MOSES

MOSES is a system for learning programs from input data. ¬†Given a table of input values, and a column of outputs, MOSES tries to learn a program, the simplest program that can reproduce the output given the input values. The … Continue reading

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Tuning Metalearning in MOSES

I’ve been studying MOSES recently, with an eye towards performance tuning it. Turns out optimization algorithms don’t always behave the way you think they do, and certainly not the way you want them to. Given a table of values, MOSES … Continue reading

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