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Gomoku, also known as five in a row, is a classical board game, ideally suited for quickly testing novel Artificial Intelligence (AI) techniques. With the aim of facilitating a developer willing to write a new Gomoku player, in this report…

Artificial Intelligence · Computer Science 2021-11-02 Lorenzo Piazzo , Michele Scarpiniti , Enzo Baccarelli

Poker is one of the most popular card games, whose rational investigation represents also one of the major challenges in several scientific areas, spanning from information theory and artificial intelligence to game theory and statistical…

Physics and Society · Physics 2015-03-05 Marco Alberto Javarone

We study the game of go from a complex network perspective. We construct a directed network using a suitable definition of tactical moves including local patterns, and study this network for different datasets of professional tournaments…

Computer Science and Game Theory · Computer Science 2012-04-20 Bertrand Georgeot , Olivier Giraud

In this work, we have designed and implemented, based on traditional board games such as the game of the Goose or Parchis, an educational software that aim to reinforce the learning of children. The idea that we are going to develop to do…

Computers and Society · Computer Science 2017-02-22 Luis Alvarez , Pablo G. Tahoces , Emilio Macías-Conde

The Nash equilibrium problem is a widely used tool to model non-cooperative games. Many solution methods have been proposed in the literature to compute solutions of Nash equilibrium problems with continuous strategy sets, but, besides some…

Optimization and Control · Mathematics 2015-12-03 Simone Sagratella

Mancala is a generic name for a family of sowing games that are popular all over the world. There are many two-player mancala games in which a player may move again if their move ends in their own store. In this work, we study a simple…

Combinatorics · Mathematics 2011-12-16 Brant Jones , Laura Taalman , Anthony Tongen

We propose a generalization of positional games, supplementing them with a restriction on the order in which the elements of the board are allowed to be claimed. We introduce poset positional games, which are positional games with an…

Artificial Intelligence is becoming instrumental in a variety of applications. Games serve as a good breeding ground for trying and testing these algorithms in a sandbox with simpler constraints in comparison to real life. In this project,…

Artificial Intelligence · Computer Science 2018-07-03 Anand Venkatesan , Atishay Jain , Rakesh Grewal

Game solving is the process of finding the theoretical outcome for a game, assuming that all player choices are optimal. This paper focuses on a technique that can reduce the heuristic search space significantly for 7x7 Killall-Go. In Go…

Artificial Intelligence · Computer Science 2024-11-11 Yun-Jui Tsai , Ting Han Wei , Chi-Huang Lin , Chung-Chin Shih , Hung Guei , I-Chen Wu , Ti-Rong Wu

People have made remarkable progress in game AIs, especially in domain of perfect information game. However, trick-taking poker game, as a popular form of imperfect information game, has been regarded as a challenge for a long time. Since…

Computer Science and Game Theory · Computer Science 2021-02-16 Naichen Shi , Ruichen Li , Sun Youran

Strategy improvement is a widely-used and well-studied class of algorithms for solving graph-based infinite games. These algorithms are parameterized by a switching rule, and one of the most natural rules is "all switches" which switches as…

Data Structures and Algorithms · Computer Science 2023-06-22 John Fearnley , Rahul Savani

The classic Rock-Paper-Scissors game of size 3 and its extension, Rock-Paper-Scissors-Lizard-Spock, are modeled by directed graphs called tournaments. They can be further extended to any odd size. The extended games are regular tournaments…

Dynamical Systems · Mathematics 2020-08-25 Ethan Akin

The AlphaZero algorithm for the learning of strategy games via self-play, which has produced superhuman ability in the games of Go, chess, and shogi, uses a quantitative reward function for game outcomes, requiring the users of the…

Machine Learning · Computer Science 2019-12-17 Dan Schmidt , Nick Moran , Jonathan S. Rosenfeld , Jonathan Rosenthal , Jonathan Yedidia

The random-to-top and the riffle shuffle are two well-studied methods for shuffling a deck of cards. These correspond to the symmetric group $S_n$, i.e., the Coxeter group of type $A_{n-1}$. In this paper, we give analogous shuffles for the…

Combinatorics · Mathematics 2007-05-23 Swapneel Mahajan

Arguably, for the latter part of the late 20th and early 21st centuries, games have been seen as the drosophila of AI. Games are a set of exciting testbeds, whose solutions (in terms of identifying optimal players) would lead to machines…

Artificial Intelligence · Computer Science 2024-06-28 Spyridon Samothrakis , Dennis J. N. J. Soemers , Damian Machlanski

It is noted that some unusual moves against a strong chess program greatly weaken its ability to see the serious targets of the game, and its whole level of play... It is suggested to create programs with different weaknesses in order to…

Artificial Intelligence · Computer Science 2011-01-31 Emanuel Gluskin

In many board games and other abstract games, patterns have been used as features that can guide automated game-playing agents. Such patterns or features often represent particular configurations of pieces, empty positions, etc., which may…

Artificial Intelligence · Computer Science 2023-05-05 Dennis J. N. J. Soemers , Éric Piette , Matthew Stephenson , Cameron Browne

By resorting to the vector space structure of finite games, skew-symmetric games (SSGs) are proposed and investigated as a natural subspace of finite games. First of all, for two player games, it is shown that the skew-symmetric games form…

Computer Science and Game Theory · Computer Science 2017-12-11 Yaqi Hao , Daizhan Cheng

Fuzzy systems have achieved great success in numerous applications. However, there are still many challenges in designing an optimal fuzzy system, e.g., how to efficiently optimize its parameters, how to balance the trade-off between…

Machine Learning · Computer Science 2019-07-16 Dongrui Wu , Chin-Teng Lin , Jian Huang , Zhigang Zeng

We introduce a new family of one-player games, involving the movement of coins from one configuration to another. Moves are restricted so that a coin can be placed only in a position that is adjacent to at least two other coins. The goal of…

Discrete Mathematics · Computer Science 2007-05-23 Erik D. Demaine , Martin L. Demaine , Helena A. Verrill