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An Alternative Approach for Playing Complex Games like Chess Host Publication: Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet Authors: J. Lemeire Publication Date: May. 2008
Abstract: Computer algorithms for game playing rely on a state evaluation which is based on a set of features and patterns.
Such evaluation can, however, never fully capture the full complexity of games such as chess, since the impact of a feature or a pattern on the game outcome heavily relies on the game's context.
It is a well-known problem in pattern-based learning that too many too specialized patterns are needed to capture all possible situations.
We hypothesize that a pattern should be regarded as an opportunity to attain a certain state during the continuation of the game, which we call the effect of a pattern.
For correct game state evaluation, one should analyze whether the desired effects of the matched patterns can be reached.
Patterns indicate opportunities to reach a more advantageous situation.
Testing whether this is possible in the current context is performed through a well-directed game tree exploration.
We argue that this approach comes closer to the human way of game playing. External Link.
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