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The game of bridge consists of two stages: bidding and playing. While playing is proved to be relatively easy for computer programs, bidding is very challenging. During the bidding stage, each player knowing only his/her own cards needs to…

人工智能 · 计算机科学 2019-03-06 Jiang Rong , Tao Qin , Bo An

Bridge is among the zero-sum games for which artificial intelligence has not yet outperformed expert human players. The main difficulty lies in the bidding phase of bridge, which requires cooperative decision making under partial…

人工智能 · 计算机科学 2016-07-13 Chih-Kuan Yeh , Hsuan-Tien Lin

Contract bridge, a cooperative game characterized by imperfect information and multi-agent dynamics, poses significant challenges and serves as a critical benchmark in artificial intelligence (AI) research. Success in this domain requires…

人工智能 · 计算机科学 2024-06-18 Haruka Kita , Sotetsu Koyamada , Yotaro Yamaguchi , Shin Ishii

We introduce a human-compatible reinforcement-learning approach to a cooperative game, making use of a third-party hand-coded human-compatible bot to generate initial training data and to perform initial evaluation. Our learning approach…

人工智能 · 计算机科学 2020-12-01 Edward Lockhart , Neil Burch , Nolan Bard , Sebastian Borgeaud , Tom Eccles , Lucas Smaira , Ray Smith

In two-player games on graphs, the players move a token through a graph to produce an infinite path, which determines the winner of the game. Such games are central in formal methods since they model the interaction between a…

计算机科学与博弈论 · 计算机科学 2023-06-22 Milad Aghajohari , Guy Avni , Thomas A. Henzinger

Game balancing is an important part of the (computer) game design process, in which designers adapt a game prototype so that the resulting gameplay is as entertaining as possible. In industry, the evaluation of a game is often based on…

人机交互 · 计算机科学 2016-03-15 Vanessa Volz , Günter Rudolph , Boris Naujoks

A non-zero-sum 3-person coalition game is presented, to study the evolution of complexity and diversity in cooperation, where the population dynamics of players with strategies is given according to their scores in the iterated game and…

adap-org · 物理学 2015-06-30 Eizo Akiyama , Kunihiko Kaneko

In this paper we experiment with a 2-player strategy board game where playing models are evolved using reinforcement learning and neural networks. The models are evolved to speed up automatic game development based on human involvement at…

人工智能 · 计算机科学 2007-05-23 Dimitris Kalles

We present a Spades bidding algorithm that is superior to recreational human players and to publicly available bots. Like in Bridge, the game of Spades is composed of two independent phases, \textit{bidding} and \textit{playing}. This paper…

人工智能 · 计算机科学 2020-02-11 Gal Cohensius , Reshef Meir , Nadav Oved , Roni Stern

We study variants of a stochastic game inspired by backgammon where players may propose to double the stake, with the game state dictated by a one-dimensional random walk. Our variants allow for different numbers of proposals and different…

Recently, Press and Dyson have proposed a new class of probabilistic and conditional strategies for the two-player iterated Prisoner's Dilemma, so-called zero-determinant strategies. A player adopting zero-determinant strategies is able to…

计算机科学与博弈论 · 计算机科学 2014-02-17 Liming Pan , Dong Hao , Zhihai Rong , Tao Zhou

Quantum methods allow to reduce communication complexity of some computational tasks, with several separated partners, beyond classical constraints. Nevertheless, experimental demonstrations of this fact are thus far limited to some…

量子物理 · 物理学 2014-06-18 S. Muhammad , A. Tavakoli , M. Kurant , M. Pawlowski , M. Zukowski , M. Bourennane

In this paper we solve the three-player-game question. A three-player-game consists of a series of rounds. There are altogether three players. Two players participate in each round, at the end of the round the loser quits and the third…

概率论 · 数学 2020-09-11 Fangqi Li

Experiments on the ultimatum game have revealed that humans are remarkably fond of fair play. When asked to share an amount of money, unfair offers are rare and their acceptance rate small. While empathy and spatiality may lead to the…

物理与社会 · 物理学 2012-08-20 Attila Szolnoki , Matjaz Perc , Gyorgy Szabo

We consider multi-player games played on graphs, in which the players aim at fulfilling their own (not necessarily antagonistic) objectives. In the spirit of evolutionary game theory, we suppose that the players have the right to repeatedly…

计算机科学与博弈论 · 计算机科学 2019-10-04 Thomas Brihaye , Gilles Geeraerts , Marion Hallet , Benjamin Monmege , Bruno Quoitin

We study the dynamics and resulting score distribution of three-agent games where after each competition a single agent wins and scores a point. A single competition is described by a triplet of numbers $p$, $t$ and $q$ denoting the…

物理与社会 · 物理学 2015-05-13 Tonguc Rador , Muhittin Mungan

Bridge is a trick-taking card game requiring the ability to evaluate probabilities since it is a game of incomplete information where each player only sees its cards. In order to choose a strategy, a player needs to gather information about…

人工智能 · 计算机科学 2020-01-23 J Li , S Thepaut , V Ventos

Game theory has been developed by scientists as a theory of strategic interaction among players who are supposed to be perfectly rational. These strategic interactions might have been presented in an auction, a business negotiation, a chess…

计算机科学与博弈论 · 计算机科学 2020-04-07 Medet Kanmaz , Elif Surer

We consider an extension of strategic normal form games with a phase before the actual play of the game, where players can make binding offers for transfer of utilities to other players after the play of the game, contingent on the…

计算机科学与博弈论 · 计算机科学 2013-11-19 Valentin Goranko , Paolo Turrini

We address the problem of how cooperative (altruistic-like) behavior arises in natural and social systems by analyzing an ultimatum game in complex networks. Specifically, three types of players are considered: (a) empathetic, whose…

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