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

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Interstellar

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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泰然自若

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

形上升才刺激

,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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