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相关论文: Duty to Warn in Strategic Games

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There are multiple notions of coalitional responsibility. The focus of this paper is on the blameworthiness defined through the principle of alternative possibilities: a coalition is blamable for a statement if the statement is true, but…

人工智能 · 计算机科学 2018-11-08 Pavel Naumov , Jia Tao

A coalition is blameable for an outcome if the coalition had a strategy to prevent it. It has been previously suggested that the cost of prevention, or the cost of sacrifice, can be used to measure the degree of blameworthiness. The paper…

人工智能 · 计算机科学 2019-01-25 Rui Cao , Pavel Naumov

Blameworthiness of an agent or a coalition of agents is often defined in terms of the principle of alternative possibilities: for the coalition to be responsible for an outcome, the outcome must take place and the coalition should have had…

人工智能 · 计算机科学 2019-03-28 Pavel Naumov , Jia Tao

The article considers strategies of coalitions that are based on intelligence information about moves of some of the other agents. The main technical result is a sound and complete logical system that describes the interplay between…

计算机科学与博弈论 · 计算机科学 2019-10-17 Pavel Naumov , Yuan Yuan

Security games are an example of a successful real-world application of game theory. The paper defines blameworthiness of the defender and the attacker in security games using the principle of alternative possibilities and provides a sound…

人工智能 · 计算机科学 2019-11-13 Pavel Naumov , Jia Tao

An agent, or a coalition of agents, faces an ethical dilemma between several statements if she is forced to make a conscious choice between which of these statements will be true. This paper proposes to capture ethical dilemmas as a…

人工智能 · 计算机科学 2021-03-03 Pavel Naumov , Rui-Jie Yew

The existence of a coalition strategy to achieve a goal does not necessarily mean that the coalition has enough information to know how to follow the strategy. Neither does it mean that the coalition knows that such a strategy exists. The…

人工智能 · 计算机科学 2017-07-28 Pavel Naumov , Jia Tao

The existence of a coalition strategy to achieve a goal does not necessarily mean that the coalition has enough information to know how to follow the strategy. Neither does it mean that the coalition knows that such a strategy exists. The…

人工智能 · 计算机科学 2017-06-19 Pavel Naumov , Jia Tao

Most existing work on strategic reasoning simply adopts either an informed or an uninformed semantics. We propose a model where knowledge of strategies can be specified on a fine-grained level. In particular, it is possible to distinguish…

计算机科学中的逻辑 · 计算机科学 2025-10-23 Borja Sierra Miranda , Thomas Studer

This paper builds on an existing notion of group responsibility and proposes two ways to define the degree of group responsibility: structural and functional degrees of responsibility. These notions measure the potential responsibilities of…

多智能体系统 · 计算机科学 2018-01-25 Vahid Yazdanpanah , Mehdi Dastani

When designing or analyzing multi-agent systems, a fundamental problem is responsibility ascription: to specify which agents are responsible for the joint outcome of their behaviors and to which extent. We model strategic multi-agent…

计算机科学与博弈论 · 计算机科学 2021-05-20 Christel Baier , Florian Funke , Rupak Majumdar

The research on coalitional games has focused on how to share the reward among a coalition such that players are incentivised to collaborate together. It assumes that the (deterministic or stochastic) characteristic function is known in…

计算机科学与博弈论 · 计算机科学 2019-10-28 Dengji Zhao , Yiqing Huang , Liat Cohen , Tal Grinshpoun

Two different forms of responsibility, counterfactual and seeing-to-it, have been extensively discussed in the philosophy and AI in the context of a single agent or multiple agents acting simultaneously. Although the generalisation of…

人工智能 · 计算机科学 2023-12-14 Qi Shi

Responsibility anticipation is the process of determining if the actions of an individual agent may cause it to be responsible for a particular outcome. This can be used in a multi-agent planning setting to allow agents to anticipate…

人工智能 · 计算机科学 2023-08-01 Timothy Parker , Umberto Grandi , Emiliano Lorini

The ability to model the mental states of others is crucial to human social intelligence, and can offer similar benefits to artificial agents with respect to the social dynamics induced in multi-agent settings. We present a method of…

机器学习 · 计算机科学 2023-07-20 Ini Oguntola , Joseph Campbell , Simon Stepputtis , Katia Sycara

The paper proposes a bimodal logic that describes an interplay between distributed knowledge modality and coalition know-how modality. Unlike other similar systems, the one proposed here assumes perfect recall by all agents. Perfect recall…

人工智能 · 计算机科学 2017-11-16 Pavel Naumov , Jia Tao

We provide a formal definition of blameworthiness in settings where multiple agents can collaborate to avoid a negative outcome. We first provide a method for ascribing blameworthiness to groups relative to an epistemic state (a…

计算机与社会 · 计算机科学 2019-03-12 Meir Friedenberg , Joseph Y. Halpern

One major function of social networks (e.g., massive online social networks) is the dissemination of information such as scientific knowledge, news, and rumors. Information can be propagated by the users of the network via natural…

计算机科学与博弈论 · 计算机科学 2010-08-13 Dmitry Zinoviev , Vy Duong

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

In repeated-game applications where both the collusive and non-collusive outcomes can be supported as equilibria, researchers must resolve underlying selection questions if theory will be used to understand counterfactual policies. One…

综合经济学 · 经济学 2021-01-18 Emanuel Vespa , Taylor Weidman , Alistair J. Wilson
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