Stanford University is offering an online course called "General Game Playing". This 8-week-long course will commence from 31st March, 2014.
About the Course:
General game players are computer systems able to play strategy games based solely on formal game descriptions supplied at "runtime". (In other words, they don't know the rules until the game starts.) Unlike specialised game players, such as Deep Blue, general game players cannot rely on algorithms designed in advance for specific games; they must discover such algorithms themselves. General game playing expertise depends on intelligence on the part of the game player and not just intelligence of the programmer of the game player.
GGP is an interesting application in its own right. It is intellectually engaging and more than a little fun. But it is much more than that. It provides a theoretical framework for modeling discrete dynamic systems and for defining rationality in a way that takes into account problem representation and complexities like incompleteness of information and resource bounds. It has practical applications in areas where these features are important, e.g. in business and law. More fundamentally, it raises questions about the nature of intelligence and serves as a laboratory in which to evaluate competing approaches to artificial intelligence.
This course is an introduction to General Game Playing (GGP). Students will get an introduction to the theory of General Game Playing and will learn how to create GGP programs capable of competing against other programs and humans.
Michael Genesereth will be the course instructor.
The course will have a workload of 4-12 hours of work / week.
It will be taught in English and subtitles will be available in English.
To know more and to register click here