All or Nothing Caching Games with Bounded Queries
Dömötör Pálvölgyi ()
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Dömötör Pálvölgyi: Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK
International Game Theory Review (IGTR), 2018, vol. 20, issue 01, 1-9
Abstract:
We determine the value of some search games where our goal is to find all of some hidden treasures using queries of bounded size. The answer to a query is either empty, in which case we lose, or a location, which contains a treasure. We prove that if we need to find d treasures at n possible locations with queries of size at most k, then our chance of winning is kd n d if each treasure is at a different location and kd n+d−1 d if each location might hide several treasures for large enough n. Our work builds on some results by Csóka who has studied a continuous version of this problem, known as Alpern’s Caching Game we also prove that the value of Alpern’s Caching Game is kd n+d−1 d for integer k and large enough n.
Keywords: Search theory; Alpern’s caching game (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:igtrxx:v:20:y:2018:i:01:n:s0219198917500232
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DOI: 10.1142/S0219198917500232
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