Again on Measuring Machine Intelligence

I have recently found two tech reports written by Shane Legg and Marcus Hutter (IDSIA, Lugano, Switzerland) in which they make very interesting reviews on the definitions of machine intelligence and ways to measure it.
Have a look at:

Tests of Machine Intelligence
http://www.idsia.ch/idsiareport/IDSIA-11-07.pdf

Universal Intelligence: A Definition of Machine Intelligence
http://www.idsia.ch/idsiareport/IDSIA-10-07.pdf

It’s a pleasure to see that some people face the fundamental problems of AI from the front!

NARS: Non-axiomatic Reasoning System

Pei-Wang’s well-defined approach to Artificial General Intelligence takes as basic premises the fact that the agent has limited time and memory resources. He then develops a reasoning system that learns from experience and is able to deal with uncertainty and contradictory data.

http://nars.wang.googlepages.com

The project has become open-source, so you can even have a look at the code. There is also an free e-book on the webpage.