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This paper proposes a new mechanism for pruning a search game-tree incomputer chess. The algorithm stores and then reuses chains or sequences ofmoves, built up from previous searches. These move sequences have a built-inforward-pruning mechanism that can radically reduce the search space. A typicalsearch process might retrieve a move from a Transposition Table, where thedecision of what move to retrieve would be based on the position itself. Thisalgorithm stores move sequences based on what previous sequences were better,or caused cutoffs. This is therefore position independent and so it could alsobe useful in games with imperfect information or uncertainty, where the wholesituation is not known at any one time. Over a small set of tests, thealgorithm was shown to clearly out-perform Transposition Tables, both in termsof search reduction and game-play results.

Dynamic Move Chains -- a Forward Pruning Approach to Tree Search in Computer Chess