906 search results - page 164 / 182 » Games for Learning and Learning from Games |
LION
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
ACMDIS
2008
ACM
13 years 9 months ago
2008
ACM
Combining interactive technology with traditional toys promises to significantly enhance the educational value of children's play. Designing such augmented toy environments, ...
UAI
2008
13 years 9 months ago
2008
A graphical multiagent model (GMM) represents a joint distribution over the behavior of a set of agents. One source of knowledge aboutagents'behaviormaycomefromgametheoretic ...
AIIDE
2009
13 years 8 months ago
2009
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
NPL
2000
13 years 7 months ago
2000
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...