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Sequential Mergers and Delayed Monopolization in Triopoly 三强垄断中的顺序合并与延迟垄断
4区 数学 Q1 Mathematics Pub Date : 2023-09-25 DOI: 10.1007/s13235-023-00526-7
Didier Laussel
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引用次数: 0
Partial Information Games and Competitive Advertising 部分信息游戏与竞争性广告
4区 数学 Q1 Mathematics Pub Date : 2023-09-16 DOI: 10.1007/s13235-023-00530-x
Vartika Singh, Veeraruna Kavitha
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引用次数: 0
Rational Noncooperative Strategic Exploitation of Species in a Predator–Prey Ecosystem with Random Disturbances 随机干扰下捕食-食饵生态系统中物种的理性非合作策略开发
4区 数学 Q1 Mathematics Pub Date : 2023-09-16 DOI: 10.1007/s13235-023-00527-6
Christos Koulovatianos
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引用次数: 0
Introspection Dynamics in Asymmetric Multiplayer Games 非对称多人游戏中的内省动态
4区 数学 Q1 Mathematics Pub Date : 2023-09-15 DOI: 10.1007/s13235-023-00525-8
Marta C. Couto, Saptarshi Pal
Abstract Evolutionary game theory and models of learning provide powerful frameworks to describe strategic decision-making in social interactions. In the simplest case, these models describe games among two identical players. However, many interactions in everyday life are more complex. They involve more than two players who may differ in their available actions and in their incentives to choose each action. Such interactions can be captured by asymmetric multiplayer games. Recently, introspection dynamics has been introduced to explore such asymmetric games. According to this dynamics, at each time step players compare their current strategy to an alternative strategy. If the alternative strategy results in a payoff advantage, it is more likely adopted. This model provides a simple way to compute the players’ long-run probability of adopting each of their strategies. In this paper, we extend some of the previous results of introspection dynamics for 2-player asymmetric games to games with arbitrarily many players. First, we derive a formula that allows us to numerically compute the stationary distribution of introspection dynamics for any multiplayer asymmetric game. Second, we obtain explicit expressions of the stationary distribution for two special cases. These cases are additive games (where the payoff difference that a player gains by unilaterally switching to a different action is independent of the actions of their co-players), and symmetric multiplayer games with two strategies. To illustrate our results, we revisit several classical games such as the public goods game.
进化博弈论和学习模型为描述社会互动中的战略决策提供了强有力的框架。在最简单的情况下,这些模型描述的是两个相同玩家之间的博弈。然而,日常生活中的许多互动要复杂得多。这类游戏涉及两个以上的玩家,他们的可用行动和选择每个行动的动机可能不同。非对称多人游戏可以捕捉到这种互动。最近,内省动力学被引入来探索这种不对称博弈。根据这一动态,玩家在每个时间步都会将当前策略与备选策略进行比较。如果备选策略产生收益优势,则更有可能被采用。这个模型提供了一种简单的方法来计算参与者采用各自策略的长期概率。在本文中,我们将之前关于2人非对称博弈的内省动力学的一些结果扩展到具有任意多玩家的博弈。首先,我们推导出一个公式,使我们能够数值计算任何多人非对称游戏的内省动态的平稳分布。其次,我们得到了两种特殊情况下平稳分布的显式表达式。这些例子是附加游戏(游戏邦注:即玩家单方面转向不同行动所获得的收益差异与其他玩家的行动无关),以及带有两种策略的对称多人游戏。为了说明我们的结果,我们回顾了几个经典游戏,如公共物品游戏。
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引用次数: 1
Strategic Licensing Model Choice with Network Effects in a Dynamic Duopoly 动态双寡头市场中具有网络效应的战略许可模式选择
4区 数学 Q1 Mathematics Pub Date : 2023-09-14 DOI: 10.1007/s13235-023-00516-9
Fei Yan, Hong-Zhuan Chen, Sahin Telli, Zhi-Chao Zhang
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引用次数: 0
HSVI Can Solve Zero-Sum Partially Observable Stochastic Games HSVI可以求解零和部分可观测随机对策
IF 1.5 4区 数学 Q1 Mathematics Pub Date : 2023-09-02 DOI: 10.1007/s13235-023-00519-6
Aur'elien Delage, O. Buffet, J. Dibangoye, Abdallah Saffidine
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引用次数: 0
Games and the Treatment Convexity of Cancer 游戏与癌症治疗的凸性
4区 数学 Q1 Mathematics Pub Date : 2023-08-31 DOI: 10.1007/s13235-023-00520-z
Péter Bayer, Jeffrey West
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引用次数: 1
Evolution of Semi-Kantian Preferences in Two-Player Assortative Interactions with Complete and Incomplete Information and Plasticity 具有完全信息和不完全信息及可塑性的二人分类互动中的半康德偏好演化
4区 数学 Q1 Mathematics Pub Date : 2023-08-28 DOI: 10.1007/s13235-023-00521-y
Ingela Alger, Laurent Lehmann
Abstract We model the evolution of preferences guiding behavior in pairwise interactions in group-structured populations. The model uses long-term evolution theory to examine different interaction scenarios, including conditional preference expression upon recognition of the partner’s type. We apply the model to the evolution of semi-Kantian preferences at the fitness level, which combine self-interest and a Kantian interest evaluating own behavior in terms of consequences for own fitness if the partner also adopted this behavior. We seek the convergence stable and uninvadable value of the Kantian coefficient, i.e., the weight attached to the Kantian interest, a quantitative trait varying between zero and one. We consider three scenarios: (a) incomplete information; (b) complete information and incomplete plasticity; and (c) complete information and complete plasticity, where individuals not only recognize the type of their interaction partner (complete information), but also conditionally express the Kantian coefficient upon it (complete plasticity). For (a), the Kantian coefficient generally evolves to equal the coefficient of neutral relatedness between interacting individuals; for (b), it evolves to a value that depends on demographic and interaction assumptions, while for (c) there are generally multiple uninvadable types, including the type whereby an individual is a pure Kantian when interacting with individuals of the same type and applies the Kantian coefficient that is uninvadable under complete information with zero relatedness when interacting with a different typed individual. Overall, our model connects several concepts for analysing the evolution of behavior rules for strategic interactions that have been emphasized in different and sometimes isolated studies.
摘要:我们对群体结构群体中两两互动中引导行为的偏好进化进行了建模。该模型使用长期进化理论来考察不同的互动场景,包括对伴侣类型识别的条件偏好表达。我们将该模型应用于半康德偏好在适合度水平上的进化,它结合了自利和康德利益,如果伴侣也采取这种行为,则根据自身适合度的后果来评估自己的行为。我们寻求康德系数的收敛、稳定和不可破坏的值,即康德利益的权重,一个在0和1之间变化的数量特征。我们考虑了三种情况:(a)信息不完整;(b)信息完全,可塑性不完全;(c)完全信息和完全可塑性,个体不仅识别其互动伙伴的类型(完全信息),而且有条件地在其上表达康德系数(完全可塑性)。对于(a),康德系数通常演变为等于相互作用的个体之间的中性亲缘系数;对于(b),它演变为一个取决于人口统计学和相互作用假设的值,而对于(c),通常存在多种不可侵犯的类型,包括个体在与相同类型的个体相互作用时是纯康德的类型,以及在与不同类型的个体相互作用时应用在完全信息下不可侵犯的康德系数零相关性的类型。总的来说,我们的模型连接了几个概念,用于分析在不同的,有时是孤立的研究中强调的战略互动行为规则的演变。
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引用次数: 0
Cooperative Dilemmas with Binary Actions and Multiple Players 二元行动和多参与者的合作困境
IF 1.5 4区 数学 Q1 Mathematics Pub Date : 2023-08-26 DOI: 10.1007/s13235-023-00524-9
Jorge Peña, G. Nöldeke
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引用次数: 2
Strategy Consensus of Networked Evolutionary Games with Time Invariant Delays 具有时不变延迟的网络进化博弈的策略一致性
IF 1.5 4区 数学 Q1 Mathematics Pub Date : 2023-08-12 DOI: 10.1007/s13235-023-00522-x
Zhiru Wang, Shihua Fu, Jianjun Wang, Xiaoyu Zhao
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引用次数: 0
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Dynamic Games and Applications
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