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相关论文: Stochastic strategies in the Minority Game

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We show analytically how the fluctuations (i.e. standard deviation) in the Minority Game (MG) can be made to decrease below the random coin-toss limit if the agents use more general behavioral strategies. This suppression of the standard…

凝聚态物理 · 物理学 2009-10-31 M. Hart , P. Jefferies , N. F. Johnson , P. M. Hui

We present a dynamical theory of a multi-agent market game, the so-called Minority Game (MG), based on crowds and anticrowds. The time-averaged version of the dynamical equations provides a quantitatively accurate, yet intuitively simple,…

凝聚态物理 · 物理学 2009-10-31 M. Hart , P. Jefferies , P. M. Hui , N. F. Johnson

We show that in a variant of the Minority Game problem, the agents can reach a state of maximum social efficiency, where the fluctuation between the two choices is minimum, by following a simple stochastic strategy. By imagining a social…

物理与社会 · 物理学 2012-03-06 Soumyajyoti Biswas , Asim Ghosh , Arnab Chatterjee , Tapan Naskar , Bikas K. Chakrabarti

We calculate the standard deviation of (N1-N0), the difference of the number of agents choosing between the two alternatives of the minority game. Our approach is based on two approximations: we use the whole set of possible strategies,…

凝聚态物理 · 物理学 2009-11-07 Ines Caridi , Horacio Ceva

We provide a theoretical description of the Minority Game in terms of crowd effects. The size of the fluctuations arising in the game is controlled by the interplay between crowds of like-minded agents and their anti-correlated partners…

凝聚态物理 · 物理学 2007-05-23 M. Hart , P. Jefferies , N. F. Johnson , P. M. Hui

We present a quantitative theory, based on crowd effects, for the market volatility in a Minority Game played by a mixed population. Below a critical concentration of generalized strategy players, we find that the volatility in the crowded…

凝聚态物理 · 物理学 2009-10-31 P. Jefferies , M. Hart , N. F. Johnson , P. M. Hui

Hypothesis Testing Minority Game (HMG) is a variant of the standard Minority Game (MG) that models the inertial behavior of agents in the market. In the earlier study of our group, we find that agents cooperate better in HMG than in the…

物理与社会 · 物理学 2009-11-13 H. F. Chau , V. H. Chan , F. K. Chow

We review the recent approaches to modelling financial markets based on multi-agent systems. After a brief summary of the basic stylised facts observed in real-market time-series we discuss some simple agent-based systems which are…

物理与社会 · 物理学 2008-12-02 Tobias Galla , Giancarlo Mosetti , Yi-Cheng Zhang

The Minority Game (MG) behaves as a stochastically perturbed deterministic system due to the coin-toss invoked to resolve tied strategies. Averaging over this stochasticity yields a description of the MG's deterministic dynamics via mapping…

无序系统与神经网络 · 物理学 2009-11-07 P. Jefferies , M. L. Hart , N. F. Johnson

We present a variant of the Minority Game in which players who where successful in the previous timestep stay with their decision, while the losers change their decision with a probability $p$. Analytical results for different regimes of…

统计力学 · 物理学 2009-10-31 G. Reents , R. Metzler , W. Kinzel

The Minority Game is a simple yet highly non-trivial agent-based model for a complex adaptive system. Despite its importance, a quantitative explanation of the game's fluctuations which applies over the entire parameter range of interest…

凝聚态物理 · 物理学 2009-10-31 M. Hart , P. Jefferies , N. F. Johnson , P. M. Hui

We study a variation of the minority game. There are N agents. Each has to choose between one of two alternatives everyday, and there is reward to each member of the smaller group. The agents cannot communicate with each other, but try to…

交易与市场微观结构 · 定量金融 2015-05-27 Deepak Dhar , V. Sasidevan , Bikas K. Chakrabarti

Generalization of the minority game to more than one market is considered. At each time step every agent chooses one of its strategies and acts on the market related to this strategy. If the payoff function allows for strong fluctuation of…

交易与市场微观结构 · 定量金融 2011-05-12 Karol Wawrzyniak , Wojciech Wislicki

We partially modify the rules of the Minority Game (MG) by introducing some degree of local information in the game, which is only available for some agents, called the interacting agents. Our work shows that, for small values of the new…

统计力学 · 物理学 2009-11-10 Ines Caridi , Horacio Ceva

We introduce a version of the Minority Game where the total number of available choices is $D>2$, but the agents only have two available choices to switch. For all agents at an instant in any given choice, therefore, the other choice is…

物理与社会 · 物理学 2020-10-19 Soumyajyoti Biswas , Amit Kr Mandal

We investigate different versions of the minority game, a toy model for agents buying and selling a commodity. The Hamming distance between the strategies used by agents to take decisions is introduced as an analytical tool to determine…

adap-org · 物理学 2009-10-31 R. D'hulst , G. J. Rodgers

We study the parallel Minority Game, where a group of agents, each having two choices, try to independently decide on a strategy such that they stay on minority between their own two choices. However, there are multiple such groups of…

物理与社会 · 物理学 2025-09-04 Ankith Reddy Vemula , Soumyajyoti Biswas

The Minority Game is a simple model for the collective behavior of agents in an idealized situation where they have to compete through adaptation for a finite resource. This review summarizes the statistical mechanics community efforts to…

无序系统与神经网络 · 物理学 2007-05-23 Esteban Moro

We consider a version of large population games whose agents compete for resources using strategies with adaptable preferences. Diversity among the agents reduces their maladpative behavior. We find interesting scaling relations with…

凝聚态物理 · 物理学 2007-05-23 K. Y. Michael Wong , S. W. Lim , Zhuo Gao

We show that a simple evolutionary scheme, when applied to the minority game (MG), changes the phase structure of the game. In this scheme each agent evolves individually whenever his wealth reaches the specified bankruptcy level, in…

统计力学 · 物理学 2009-11-10 Baosheng Yuan , Kan Chen
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