The LExAu project
It is widely believed that "A computer produces nothing more than you put into it."
The goal of the LExAu project is to prove that this belief is fundamentally wrong.
Who is LExAu?
LExAu is still a one-person project, but it is the intention to share the effort
as well as the fruits as widely as possible. Read on…
What's in a name?
The name LExAu is a contraction of three words that summarize the core principles
that the project is based on: Learning Expectations
- There are a lot of ways to approach A.I. To name a few: Neural Networks, Inductive
Logic Programming, Evolutionary Programming, and Computer Vision. The approach of the LExAu
project is Machine Learning. The main feature of learning is that a learner accumulates
knowledge about its environment. This is the first way to prove the statement in the
first paragraph on this page wrong. You don't put stuff into a
learning system, on the contrary: a learning system gets knowledge out of
- This keyword is meant to contrast with predictions. Predictions are
black-and-white, they are also most of the time wrong. Expectations are more
useful than predictions. You can bet on them, literally! This could turn out
very helpful if we view learning as a betting game between a learning system and its
- This is the new element that this project introduces to machine learning: rather than
a learning system that can learn a task, we strive for a learning system that is
curious about its environment. An autonomous learning system may be
constrained by internal limitations, but it is not dependent on its environment for
teaching it. The environment does not supply losses or gains.
This introduces a surprise
factor that also aids in disproving the statement above.
Of course the autonomy principle implies that we have to study interactive
systems. Curiosity implies actions and expectations imply responses, so let us create an
A.I. that interacts...
|"Thing" is an early example of interactive behavior out of a box|
Visit the LExAu project page on SourceForge for project details.