By the same authors

Using Association Rule Mining to Predict Opponent Deck Content in Android: Netrunner

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Department/unit(s)

Conference

ConferenceIEEE Computational Intelligence and Games Conference (CIG 2016)
CountryUnited Kingdom
CitySantorini
Conference date(s)20/09/1623/09/16

Publication details

DatePublished - 20 Sep 2016
Original languageEnglish

Abstract

As part of their design, card games often include
information that is hidden from opponents and represents a
strategic advantage if discovered. A player that can discover
this information will be able to alter their strategy based on
the nature of that information, and therefore become a more
competent opponent. In this paper, we employ association rule-mining
techniques for predicting item multisets, and show them
to be effective in predicting the content of Netrunner decks. We
then apply different modifications based on heuristic knowledge
of the Netrunner game, and show the effectiveness of techniques
which consider this knowledge during rule generation and
prediction.

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