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PPSN
2010
Springer
14 years 8 months ago
Indirect Encoding of Neural Networks for Scalable Go
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Jason Gauci, Kenneth O. Stanley
NIPS
2004
14 years 11 months ago
Modelling Uncertainty in the Game of Go
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
David H. Stern, Thore Graepel, David J. C. MacKay
AAI
2010
195views more  AAI 2010»
14 years 6 months ago
Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...
Alexander K. Seewald
IJCAI
2003
14 years 11 months ago
Learning Minesweeper with Multirelational Learning
Minesweeper is a one-person game which looks deceptively easy to play, but where average human performance is far from optimal. Playing the game requires logical, arithmetic and p...
Lourdes Peña Castillo, Stefan Wrobel
CG
2008
Springer
14 years 12 months ago
Cognitive Modeling of Knowledge-Guided Information Acquisition in Games
Since Chase and Simon presented their influential paper on perception in chess in 1973, the use of chunks has become the subject of a number of studies into the cognitive behavior ...
Reijer Grimbergen