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Titlebook: Autonomous Agents and Multiagent Systems. Best and Visionary Papers; AAMAS 2023 Workshops Francesco Amigoni,Arunesh Sinha Conference procee

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发表于 2025-3-21 17:00:23 | 显示全部楼层 |阅读模式
期刊全称Autonomous Agents and Multiagent Systems. Best and Visionary Papers
期刊简称AAMAS 2023 Workshops
影响因子2023Francesco Amigoni,Arunesh Sinha
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Autonomous Agents and Multiagent Systems. Best and Visionary Papers; AAMAS 2023 Workshops Francesco Amigoni,Arunesh Sinha Conference procee
影响因子.This book contains visionary and best papers from the workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, held in London, UK, during May 29–June 2, 2023..The 12 regular papers, 5 best papers and 7 visionary papers, presented were carefully reviewed and selected from a total of more than 110 contributions to the workshops. They focus on emerging topics and new trends in the area of autonomous agents and multiagent systems and stem from the following workshops:.- Workshop on Autonomous Robots and Multirobot Systems (ARMS).- Workshop on Adaptive and Learning Agents (ALA).- Workshop on Interdisciplinary Design of Emotion Sensitive Agents (IDEA).- Workshop on Rebellion and Disobedience in Artificial Intelligence (RaD-AI).- Workshop on Neuro-symbolic AI for Agent and Multi-Agent Systems (NeSyMAS).- Workshop on Multiagent Sequential Decision Making under Uncertainty (MSDM).- Workshop on Citizen-Centric Multi-Agent Systems (C-MAS). .
Pindex Conference proceedings 2024
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The Value of Knowledge: Joining Reward and Epistemic Certainty Optimisation for Anxiety-Sensitive Pl, concentrating on expected values and disregarding the degree of exposure to uncertainty. This paper introduces a formalism derived from Partially Observable Markov Decision Processes (POMDPs) to give the first model based on cognitive psychology of the anxiety induced by epistemic uncertainty (i.e
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Discrete-Choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for Smart Citieo targets. Decentralized multi-agent methods for socio-technical optimization of large-scale complex infrastructures such as energy and transport networks are scalable and more privacy-preserving by design. However, they mainly focus on satisfying soft constraints to remain cost-effective. This pape
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Discovery and Analysis of Rare High-Impact Failure Modes Using Adversarial RL-Informed Samplingcan be difficult to verify that these learning agents do not have critical failure modes. Standard verification and validation methods often do not apply directly to learning agents and Monte Carlo methods have difficulty covering even a small fraction of the state space, especially in multiagent sy
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Anxiety Among Migrants - Questions for Agent Simulation(and very incomplete) review of emotion modelling in literature. It asks the question of how to translate these into agent-based modelling, and whether this can be orthogonal to . modelling of goals and capabilities of agents. This short paper is offered as a motivator for discussion, rather than a
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