This paper extends recent work studying the developmentof human expertise in the game of Go. Although itappears like a simple game on the surface, Go is actually themost difficult of all established games for artificial intelligence,with no computer program yet reaching the top internationallevel on a full 19Ã—19 board. On smaller boards with sizes like9Ã—9, computers are competitive, implying that the understandingof complex global interactions is the key to human superiority.The temporal analysis of game positions yields some interestinginsights in into local/global analysis. By mining thousands ofpositions from online games, we show that at some player levels,the sequence of plays leading up to a local position is a strongerdeterminant of the next move than the position alone. Thissuggests that the sequence of plays is an indicator of globalstrategic factors and thus provides a context for the next movein addition to the local position. Using perceptual templatesintroduced in other work, we demonstrate that this global contextappears at the very earliest stages of cognition.
|Number of pages||10|
|Journal||International Journal on Advances in Software|
|Publication status||Published - 2012|