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相关论文: Coalitional Beliefs of Cournot Network Agents

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Cooperative game theory has diverse applications in contemporary artificial intelligence, including domains like interpretable machine learning, resource allocation, and collaborative decision-making. However, specifying a cooperative game…

计算机科学与博弈论 · 计算机科学 2024-12-05 Filip Úradník , David Sychrovský , Jakub Černý , Martin Černý

Choice functions constitute a simple, direct and very general mathematical framework for modelling choice under uncertainty. In particular, they are able to represent the set-valued choices that typically arise from applying decision rules…

人工智能 · 计算机科学 2018-06-05 Jasper De Bock , Gert de Cooman

In studies of social dynamics, cohesion refers to a group's tendency to stay in unity, which -- as argued in sociometry -- arises from the network topology of interpersonal ties between members of the group. We follow this idea and propose…

社会与信息网络 · 计算机科学 2016-12-28 Jiamou Liu , Ziheng Wei

Multi-agent decision-making under uncertainty is fundamental for effective and safe autonomous operation. In many real-world scenarios, each agent maintains its own belief over the environment and must plan actions accordingly. However,…

多智能体系统 · 计算机科学 2025-12-25 Moshe Rafaeli Shimron , Vadim Indelman

Coalition Logic is an important logic in logical studies of strategic reasoning, whose models are concurrent game models. In this paper, first, we systematically discuss three assumptions of concurrent game models and argue that they are…

计算机科学中的逻辑 · 计算机科学 2025-09-12 Yinfeng Li , Fengkui Ju

In many economic, social and political situations individuals carry out activities in groups (coalitions) rather than alone and on their own. Examples range from households and sport clubs to research networks, political parties and trade…

计算机科学与博弈论 · 计算机科学 2012-12-12 Gerhard J. Woeginger

Cooperative communication plays a central role in theories of human cognition, language, development, culture, and human-robot interaction. Prior models of cooperative communication are algorithmic in nature and do not shed light on why…

机器学习 · 计算机科学 2020-10-23 Pei Wang , Junqi Wang , Pushpi Paranamana , Patrick Shafto

As artificial agents become increasingly capable, what internal structure is *necessary* for an agent to act competently under uncertainty? Classical results show that optimal control can be *implemented* using belief states or world…

机器学习 · 计算机科学 2026-04-03 Aran Nayebi

The basic problem in the cooperation theory is to justify the cooperation. Here we propose a new approach, where players are driven by their altruism to cooperate or not. The probability of cooperation depends also on the co-player's…

物理与社会 · 物理学 2015-05-13 Krzysztof Kulakowski , Przemyslaw Gawronski

Self-play is a common paradigm for constructing solutions in Markov games that can yield optimal policies in collaborative settings. However, these policies often adopt highly-specialized conventions that make playing with a novel partner…

人工智能 · 计算机科学 2022-06-28 Darius Muglich , Luisa Zintgraf , Christian Schroeder de Witt , Shimon Whiteson , Jakob Foerster

Hedonic games -- at the interface of cooperative game theory and computational social choice -- are coalition formation games in which the players have preferences over the coalitions they can join. Kerkmann et al. [13] introduced…

计算机科学与博弈论 · 计算机科学 2025-12-01 Jörg Rothe , Ildikó Schlotter

Coalitional games are mathematical models suited to analyze scenarios where players can collaborate by forming coalitions in order to obtain higher worths than by acting in isolation. A fundamental problem for coalitional games is to single…

计算机科学与博弈论 · 计算机科学 2013-07-19 Gianluigi Greco , Enrico Malizia , Luigi Palopoli , Francesco Scarcello

Traditional evolutionary game theory describes how certain strategy spreads throughout the system where individual player imitates the most successful strategy among its neighborhood. Accordingly, player doesn't have own authority to change…

多智能体系统 · 计算机科学 2016-04-14 Sundong Kim , Jin-Jae Lee

The aim of this paper is to investigate the interplay between knowledge shared by a group of agents and its coalition ability. We investigate this relation in the standard context of imperfect information concurrent game. We assume that…

人工智能 · 计算机科学 2016-11-28 Guifei Jiang , Dongmo Zhang , Laurent Perrussel

As the complexity of AI systems and their interactions with the world increases, generating explanations for their behaviour is important for safely deploying AI. For agents, the most natural abstractions for predicting behaviour attribute…

人工智能 · 计算机科学 2025-06-05 Alexis Bellot , Jonathan Richens , Tom Everitt

When agents devise plans for execution in the real world, they face two important forms of uncertainty: they can never have complete knowledge about the state of the world, and they do not have complete control, as the effects of their…

人工智能 · 计算机科学 2013-02-28 Ron Davidson , Michael R. Fehling

We consider a multi-agent system where agents aim to achieve a consensus despite interactions with malicious agents that communicate misleading information. Physical channels supporting communication in cyberphysical systems offer…

多智能体系统 · 计算机科学 2025-02-11 Luca Ballotta , Michal Yemini

Determining an individual's strategic reasoning capability based solely on choice data is a complex task. This complexity arises because sophisticated players might have non-equilibrium beliefs about others, leading to non-equilibrium…

综合经济学 · 经济学 2026-02-04 Wei James Chen , Meng-Jhang Fong , Po-Hsuan Lin

We investigate the impact of coalition formation on the efficiency of Cournot games where producers face uncertainties. In particular, we study a market model where firms must determine their output before an uncertain production capacity…

计算机科学与博弈论 · 计算机科学 2017-08-15 Baosen Zhang , Ramesh Johari , Ram Rajagopal

Individuals in groups must often choose between acting selfishly and cooperating for the common good. The choices they make are based on their beliefs on how they expect their actions to affect others. We show that for a broad set of…

adap-org · 物理学 2009-09-25 Bernardo A. Huberman , Natalie S. Glance