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相关论文: Coevolution of deception and preferences: Darwin a…

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We study the evolution of preferences in multi-population settings that allow matches across distinct populations. Each individual has subjective preferences over potential outcomes, and chooses a best response based on his preferences and…

计算机科学与博弈论 · 计算机科学 2024-09-20 Yu-Sung Tu , Wei-Torng Juang

Deliberate deceptiveness intended to gain an advantage is commonplace in human and animal societies. In a social dilemma, an individual may only pretend to be a cooperator to elicit cooperation from others, while in reality he is a…

物理与社会 · 物理学 2014-11-03 Attila Szolnoki , Matjaz Perc

We present a model that investigates preference evolution with endogenous matching. In the short run, individuals' subjective preferences influence partner selection and behavior in strategic interactions, which affect their material…

理论经济学 · 经济学 2025-04-30 Ziwei Wang , Jiabin Wu

Across many domains of interaction, both natural and artificial, individuals use past experience to shape future behaviors. The results of such learning processes depend on what individuals wish to maximize. A natural objective is one's own…

种群与进化 · 定量生物学 2022-09-02 Alex McAvoy , Julian Kates-Harbeck , Krishnendu Chatterjee , Christian Hilbe

Wealthy individuals may be less tempted to defect than those with comparatively low payoffs. To take this into consideration, we introduce coevolutionary success-driven multigames in structured populations. While the core game is always the…

物理与社会 · 物理学 2014-10-17 Attila Szolnoki , Matjaz Perc

In socio-technical multi-agent systems, deception exploits privileged information to induce false beliefs in "victims," keeping them oblivious and leading to outcomes detrimental to them or advantageous to the deceiver. We consider…

系统与控制 · 电气工程与系统科学 2025-07-08 Michael Tang , Umar Javed , Xudong Chen , Miroslav Krstic , Jorge I. Poveda

Empirical evidence shows that human behaviour often deviates from game-theoretical rationality. For instance, humans may hold unrealistic expectations about future outcomes. As the evolutionary roots of such biases remain unclear, we…

多智能体系统 · 计算机科学 2025-08-29 Marco Saponara , Elias Fernandez Domingos , Jorge M. Pacheco , Tom Lenaerts

A selfish learner seeks to maximize their own success, disregarding others. When success is measured as payoff in a game played against another learner, mutual selfishness typically fails to produce the optimal outcome for a pair of…

种群与进化 · 定量生物学 2022-07-07 Alex McAvoy , Yoichiro Mori , Joshua B. Plotkin

We study the evolution of cooperation in structured populations within popular models of social dilemmas, whereby simple coevolutionary rules are introduced that may enhance players abilities to enforce their strategy on the opponent.…

物理与社会 · 物理学 2009-02-16 Attila Szolnoki , Matjaz Perc

How do incentive levels affect strategic behaviour? We address this with an experiment that separately identifies own- and opponent-incentive effects in two dominance-solvable games that differ in strategic complexity. Higher own incentives…

理论经济学 · 经济学 2026-03-30 Teresa Esteban-Casanelles , Duarte Gonçalves

The evolution of preferences that account for other agents' fitness, or other-regarding preferences, has been modeled with the "indirect approach" to evolutionary game theory. Under the indirect evolutionary approach, agents make decisions…

计算机科学与博弈论 · 计算机科学 2023-01-20 Anthony DiGiovanni , Nicolas Macé , Jesse Clifton

Deception plays a key role in adversarial or strategic interactions for the purpose of self-defence and survival. This paper introduces a general framework and solution to address deception. Most existing approaches for deception consider…

人工智能 · 计算机科学 2019-04-26 Bo Wu , Murat Cubuktepe , Suda Bharadwaj , Ufuk Topcu

Human societies are characterized, besides others, by three constituent features. (A) Options, as for jobs and societal positions, differ with respect to their associated monetary and non-monetary payoffs. (B) Competition leads to reduced…

物理与社会 · 物理学 2021-02-24 Claudius Gros

In bipartite matching problems, agents on two sides of a graph want to be paired according to their preferences. The stability of a matching depends on these preferences, which in uncertain environments also reflect agents' beliefs about…

计算机科学与博弈论 · 计算机科学 2025-11-10 Jonathan Shaki , Jiarui Gan , Sarit Kraus

We use the indirect evolutionary approach to study evolutionarily stable preferences against multiple mutations in single- and multi-population matching settings, respectively. Players choose strategies to maximize their subjective…

计算机科学与博弈论 · 计算机科学 2025-07-08 Yu-Sung Tu , Wei-Torng Juang

Confidence is an essential ingredient of success in a wide range of domains ranging from job performance and mental health, to sports, business, and combat. Some authors have suggested that not just confidence but overconfidence-believing…

种群与进化 · 定量生物学 2011-09-27 Dominic D. P. Johnson , James H. Fowler

Learning problems commonly exhibit an interesting feedback mechanism wherein the population data reacts to competing decision makers' actions. This paper formulates a new game theoretic framework for this phenomenon, called "multi-player…

计算机科学与博弈论 · 计算机科学 2022-04-08 Adhyyan Narang , Evan Faulkner , Dmitriy Drusvyatskiy , Maryam Fazel , Lillian J. Ratliff

Cooperation is a key driver of human social progress. Studies of the evolution of cooperation typically assume a deterministic outcome for social interactions. But in real-world social interactions, interaction outcomes are often subject to…

物理与社会 · 物理学 2026-04-14 Jiapeng Yu , Anzhi Sheng , Long Wang

Today's high-stakes adversarial interactions feature attackers who constantly breach the ever-improving security measures. Deception mitigates the defender's loss by misleading the attacker to make suboptimal decisions. In order to formally…

Deception is a technique to mislead human or computer systems by manipulating beliefs and information. Successful deception is characterized by the information-asymmetric, dynamic, and strategic behaviors of the deceiver and the deceivee.…

密码学与安全 · 计算机科学 2018-10-02 Tao Zhang , Quanyan zhu
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