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arXiv:1908.06183cs.AI

Search Algorithms for Mastermind

Anthony D. Rhodes

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

his paper presents two novel approaches to solving the classic board game mastermind, including a variant of simulated annealing (SA) and a technique we term maximum expected reduction in consistency (MERC). In addition, we compare search results for these algorithms to two baseline search methods: a random, uninformed search and the method of minimizing maximum query partition sets as originally developed by both Donald Knuth and Peter Norvig.

arXiv comments
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DOI
Subjects
cs.AIArtificial Intelligence

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Jan 2024 to Jan 2024. Found in 1 HN submission from Aug 2019 to Aug 2019. Open submission discussions.

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Discussed in comments1 thread

    • You're framing it like an information extraction game, but it is also frameable as a zero-sum minimax game. And its an easy, and common solution to games like this. Read up. https://en.wikipedia.org/wiki/Mastermind_(board_game)#Algori...…

      wegfawefgawefgView on HNParent context

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