Computer Science – Artificial Intelligence
Scientific paper
2011-09-06
Computer Science
Artificial Intelligence
Scientific paper
Artificial general intelligence (AGI) refers to research aimed at tackling the full problem of artificial intelligence, that is, create truly intelligent agents. This sets it apart from most AI research which aims at solving relatively narrow domains, such as character recognition, motion planning, or increasing player satisfaction in games. But how do we know when an agent is truly intelligent? A common point of reference in the AGI community is Legg and Hutter's formal definition of universal intelligence, which has the appeal of simplicity and generality but is unfortunately incomputable. Games of various kinds are commonly used as benchmarks for "narrow" AI research, as they are considered to have many important properties. We argue that many of these properties carry over to the testing of general intelligence as well. We then sketch how such testing could practically be carried out. The central part of this sketch is an extension of universal intelligence to deal with finite time, and the use of sampling of the space of games expressed in a suitably biased game description language.
Schaul Tom
Schmidhuber Jürgen
Togelius Julian
No associations
LandOfFree
Measuring Intelligence through Games does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Measuring Intelligence through Games, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Measuring Intelligence through Games will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-305324