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Titlebook: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems X; International Worksh Nirav Ajmeri,And

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书目名称Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems X
副标题International Worksh
编辑Nirav Ajmeri,Andreasa Morris Martin,Bastin Tony Ro
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems X; International Worksh Nirav Ajmeri,And
描述This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, COINE 2022, which was held in Auckland, New Zealand, on May 9, 2022..The 14 papers included in these proceedings were carefully reviewed and selected from 15 submissions. They deal with autonomous agents and multi-agent systems, focusing on the scientific and technological aspects of social coordination, organizational theory, artificial (electronic) institutions, and normative and ethical MAS..
出版日期Conference proceedings 2022
关键词artificial intelligence; autonomous agents; communication channels (information theory); coordination; d
版次1
doihttps://doi.org/10.1007/978-3-031-20845-4
isbn_softcover978-3-031-20844-7
isbn_ebook978-3-031-20845-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Self-learning Governance of Black-Box Multi-Agent Systems,here is often a system objective which can differ from the agents’ own goals (e.g., price stability). While much effort has been put into modeling and optimizing agent behavior, we are concerned in this paper with the platform perspective. Our model extends Stochastic Games (SG) with dynamic restric
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,Computational Theory of Mind for Human-Agent Coordination,, explain, and predict their behaviour. Many agent-based models have been designed to develop computational theory of mind and analyze its effectiveness in various tasks and settings. However, most existing models are not generic (e.g., only applied in a given setting), not feasible (e.g., require t
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Centralized Norm Enforcement in Mixed-Motive Multiagent Reinforcement Learning, they frequently occur in real-world and artificial societies, and their outcome is often bad for the involved parties. Institutions and norms offer a good solution for governing mixed-motive systems. Still, they are usually incorporated into the system in a distributed fashion, or they are not able
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,Supporting the Reasoning About Environmental Consequences of Institutional Actions,ents want to achieve and anti-goals represent environment states they want to avoid. To achieve their goals, agents perform some actions that may have institutional consequences. Which could potentially change the environment towards as a counter effect. Since these consequences are institutional, t
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