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Applications of artificial intelligence for wildlife protection have focused on learning models of poacher behavior based on historical patterns. However, poachers' behaviors are described not only by their historical preferences, but also…

计算机与社会 · 计算机科学 2020-06-23 Lily Xu , Andrew Perrault , Andrew Plumptre , Margaret Driciru , Fred Wanyama , Aggrey Rwetsiba , Milind Tambe

This article adopts game theory to build a model for explaining the predation behavior of animals.We assume that both the prey and the preydator have two stratigies in this game,the active one and the passive one.By calculating the outcome…

种群与进化 · 定量生物学 2007-05-23 Shi Chen , Sheng Bao , Ling Yan , Cheng Huang

Game theory provides a quantitative framework for analyzing the behavior of rational agents. The Iterated Prisoner's Dilemma in particular has become a standard model for studying cooperation and cheating, with cooperation often emerging as…

种群与进化 · 定量生物学 2015-06-18 Alexander J. Stewart , Joshua B. Plotkin

Iterated games are a fundamental component of economic and evolutionary game theory. They describe situations where two players interact repeatedly and have the possibility to use conditional strategies that depend on the outcome of…

种群与进化 · 定量生物学 2015-06-12 Christian Hilbe , Martin A. Nowak , Karl Sigmund

Can a regulated, legal market for wildlife products protect species threatened by poaching? It is one of the most controversial ideas in biodiversity conservation. Perhaps the most convincing reason for legalizing wildlife trade is that…

种群与进化 · 定量生物学 2021-03-24 Matthew H. Holden , Jakeb Lockyer

Interpretation of animal behavior, especially as cooperative or selfish, is a challenge for evolutionary theory. Strategy of a competition should follow from corresponding Darwinian payoffs for the available behavioral options. The payoffs…

种群与进化 · 定量生物学 2008-09-09 Alexander Feigel , Avraham Englander , Assaf Engel

Animals use a wide variety of strategies to reduce or avoid aggression in conflicts over resources. These strategies range from sharing resources without outward signs of conflict to the development of dominance hierarchies, in which…

种群与进化 · 定量生物学 2019-11-01 Cameron L. Hall , Mason A. Porter , Marian S. Dawkins

Economic ensembles can be modeled as networks of interacting agents whose be-haviors are described in terms of game theory. The evolutionary paradigm has been applied to two-person games to discover strategies in this context.…

凝聚态物理 · 物理学 2007-05-23 Wan Ahmad Tajuddin Wan Abdullah

Evolutionary games are a developing sub-field of game theory. This branch of game theory is used in the study of the adaptation of large, but finite, populations of agents to changes in the environment. It assumes that each agent has no…

计算机科学与博弈论 · 计算机科学 2023-07-12 E. M. Lorits , E. A. Gubar

The last financial and economic crisis demonstrated the dysfunctional long-term effects of aggressive behaviour in financial markets. Yet, evolutionary game theory predicts that under the condition of strategic dependence a certain degree…

综合金融 · 定量金融 2015-05-13 Matthias Hanauske , Jennifer Kunz , Steffen Bernius , Wolfgang König

Partner selection is an important process in many social interactions, permitting individuals to decrease the risks associated with cooperation. In large populations, defectors may escape punishment by roving from partner to partner, but…

adap-org · 物理学 2008-02-03 Dan Ashlock , Mark D. Smucker , E. Ann Stanley , Leigh Tesfatsion

Extortion strategies can dominate any opponent in an iterated prisoner's dilemma game. But if players are able to adopt the strategies performing better, extortion becomes widespread and evolutionary unstable. It may sometimes act as a…

物理与社会 · 物理学 2014-02-17 Attila Szolnoki , Matjaz Perc

Animal grouping behaviors have been widely studied due to their implications for understanding social intelligence, collective cognition, and potential applications in engineering, artificial intelligence, and robotics. An important…

种群与进化 · 定量生物学 2015-11-25 Randal S. Olson , David B. Knoester , Christoph Adami

A machine learning method is proposed using two agents that simulate the biological behavior of a predator and a prey. In this method, the predator and the prey interact with each other - the predator chases the prey while the prey runs…

神经与进化计算 · 计算机科学 2025-09-16 I. A. Lopatin , S. V. Kozyrev , A. N. Pechen

Human societies around the world interact with each other by developing and maintaining social norms, and it is critically important to understand how such norms emerge and change. In this work, we define an evolutionary game-theoretic…

计算机与社会 · 计算机科学 2017-04-18 Soham De , Dana S. Nau , Michele J. Gelfand

In this paper, we analyse inspection games with an evolutionary perspective. In our evolutionary inspection game with a large population, each individual is not a rational payoff maximiser, but periodically updates his strategy if he…

最优化与控制 · 数学 2013-06-19 Vassili Kolokoltsov , Hemant Passi , Wei Yang

The evolution of cooperation has been a perennial problem for evolutionary biology because cooperation is undermined by selfish cheaters (or "free riders") that profit from cooperators but do not invest any resources themselves. In a purely…

种群与进化 · 定量生物学 2010-12-17 Arend Hintze , Christoph Adami

Understanding the emergence and sustainability of cooperation is a fundamental problem in evolutionary biology and is frequently studied by the framework of evolutionary game theory. A very powerful mechanism to promote cooperation is…

计算机科学与博弈论 · 计算机科学 2015-05-27 M. Brede

Prevalence of cooperation within groups of selfish individuals is puzzling in that it contradicts with the basic premise of natural selection. Favoring players with higher fitness, the latter is key for understanding the challenges faced by…

物理与社会 · 物理学 2016-09-08 Matjaz Perc , Attila Szolnoki

Many studies have shown that humans are "predictably irrational": they do not act in a fully rational way, but their deviations from rational behavior are quite systematic. Our goal is to see the extent to which we can explain and justify…

计算机科学与博弈论 · 计算机科学 2023-07-27 Xinming Liu , Joseph Y. Halpern
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