Author Archives: Linas Vepstas

About Linas Vepstas

Computer Science Researcher

Smart Contract Blockchains

Blockchains and smart contracts are all the rage, these days. What does this have to do with OpenCog?  Let me explain.
The idea of a block-chain comes from the idea of block ciphers, where you want to securely sign …

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 | 7 Comments

What is consciousness?

Building a conscious, self-aware computer might not be hard: it just needs an accurate internal model of its own thinking that it can think about, and control. Continue reading

Posted in Design, Theory | 44 Comments

Why Hypergraphs?

I’ve recently been hacking on creating a new parser for the Link Grammar theory of natural language parsing. I want to couple parsing to machine learning (ML), to that I can use ML to learn natural languages. … Continue reading

Posted in Design, Introduction, Theory | Tagged , , , , , , , , , | 39 Comments

The Viterbi Parser

The new Viterbi decoder for Link Grammar should offer better integration with higher level semantic algorithms! Continue reading

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The MOSES Metapopulation

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

Posted in Design, Documentation, Theory | Tagged , , , | 6 Comments

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. …

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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 …

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Meaning-Text Theory

During some recent reading, it struck me that a useful framework for thinking about and talking about sentence generation is the MTT or “meaning-text theory” of Igor Mel’cuk, et al Here is one readable reference:

Igor A. Mel’čuk and …

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Semantic dependency relations

I spent the weekend comparing the Stanford parser to RelEx, and learned a lot. RelEx really does deserve to be called a “semantic relation extractor”, and not just a “dependency relation extractor”. It provides a more abstract, …

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