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Using Binary Decision Diagrams to Efficiently Represent Alpha-Beta Associative Memories
Binary decision diagrams have been successful forms to represent Boolean functions, and associative memories have been one of the most important models for pattern recognition, being the alpha-beta associative memories the best available model today. In this paper we propose the use of binary decision diagrams to represent alpha-beta associative memories. By doing so, we are able to merge two important and very active areas of contemporary scientific research, and improve on both models
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