What is “machine learning”?

Looking at my posts so far, it seems that a little “What is … ?” series is emerging (“What is AGI?”, “What are conceptual spaces?”). Today I’d like to add another post to this series – this time about the term “machine learning” and about three different types of machine learning algorithms one can distinguish.

As already discussed earlier, “good old fashioned AI” is based on manually writing rules and having some sort of inference system that applies these rules in a given situation. Machine learning is more about discovering rules from a (usually quite large) number of examples.

One can distinguish three types of machine learning: supervised, unsupervised and semi-supervised.

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Interdisciplinary College 2017

Last week, I participated in this year’s interdisciplinary college (https://www.interdisciplinary-college.de). In the course of this spring school, I was able to meet many other students working on exciting research projects. By taking lectures, I acquired basic knowledge of neuroscience, some ideas about creativity (both from the behavioral/neural viewpoint as from the AI perspective) and many impulses on language grounding in robotics.

I was also able to present my overall PhD research project (“Concept Formation in Conceptual Spaces”) both during the poster session and as a “rainbow course” lecture. On both occasions I got very valuable feedback and stimulating impulses for my further research. I’ve uploaded the respective resources in case you are interested: the pdf file of my poster and the slides of my presentation.

Long story short: it was a great week with a lot of input and impulses. 🙂

About AI Safety

So one of the current hot topics these days about artificial intelligence seems to be AI safety: How can we make sure that AI will actually be beneficial?

Some top thinkers from science and technology (namely Elon Musk, Stephen Hawking, and Bill Gates) have expressed their concerns about the dangers of artificial intelligence. If those three guys are worried, shouldn’t we all be? Continue reading “About AI Safety”

What are “conceptual spaces”?

After having sketched what hides behind the term “Artificial General Intelligence” in my last post, today I would like to give a short introduction to conceptual spaces.

The term “conceptual spaces” describes a framework proposed by Peter Gärdenfors [1] that aims at a geometric representation of concepts. It is the starting point of my PhD research on concept formation.

But first things first: what is a concept?

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