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Register a new userCannibal Animal Games: a new variant of Tic-Tac-Toe
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Added by
Matias Korman
Publication date
2013
fields
Informatics Engineering
and research's language is
English
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This paper presents a new partial two-player game, called the emph{cannibal animal game}, which is a variant of Tic-Tac-Toe. The game is played on the infinite grid, where in each round a player chooses and occupies free cells. The first player Alice can occupy a cell in each turn and wins if she occupies a set of cells, the union of a subset of which is a translated, reflected and/or rotated copy of a previously agreed upon polyomino $P$ (called an emph{animal}). The objective of the second player Bob is to prevent Alice from creating her animal by occupying in each round a translated, reflected and/or rotated copy of $P$. An animal is a emph{cannibal} if Bob has a winning strategy, and a emph{non-cannibal} otherwise. This paper presents some new tools, such as the emph{bounding strategy} and the emph{punching lemma}, to classify animals into cannibals or non-cannibals. We also show that the emph{pairing strategy} works for this problem.
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In this paper, we describe our autonomous bidding agent, RoxyBot, who emerged victorious in the travel division of the 2006 Trading Agent Competition in a photo finish. At a high level, the design of many successful trading agents can be summarized as follows: (i) price prediction: build a model of market prices; and (ii) optimization: solve for an approximately optimal set of bids, given this model. To predict, RoxyBot builds a stochastic model of market prices by simulating simultaneous ascending auctions. To optimize, RoxyBot relies on the sample average approximation method, a stochastic optimization technique.
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