Sciweavers

906 search results - page 80 / 182
» Games for Learning and Learning from Games
Sort
View
ICML
2003
IEEE
15 years 11 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
ISIPTA
2003
IEEE
125views Mathematics» more  ISIPTA 2003»
15 years 3 months ago
Game-Theoretic Learning Using the Imprecise Dirichlet Model
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
Erik Quaeghebeur, Gert de Cooman
CA
2003
IEEE
15 years 3 months ago
Satisfying the Perceived Need for Free-Play in Pedagogically Oriented Interactive Dramas
This research explores ways of harnessing people’s passion for entertainment in order to stimulate players to attain the meta-learning skills they need for lifelong learning and...
Barry G. Silverman, Michael Johns, Ransom Weaver
FPLAY
2008
14 years 11 months ago
Interactive accounting simulation environment for accounting education and training
In contrast to traditional teaching-and-learning environments whereby the teacher controls the learning (e.g., teacher-centered), video games present a learner-centered approach t...
Andrew Milner, Andrew Hogue, Bill Kapralos, John F...
RSKT
2009
Springer
15 years 4 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao