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E-raamat: Autonomous Agents and Multiagent Systems. Best and Visionary Papers: AAMAS 2023 Workshops, London, UK, May 29 -June 2, 2023, Revised Selected Papers

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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 29June 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)













 
Best Papers.- - Fair Deep Reinforcement Learning with Generalized Gini
Welfare Functions.- The Value of Knowledge: Joining Reward and Epistemic
Certainty Optimisation for AnxietySensitive Planning.- Learning Reward
Machines in Cooperative Multi-Agent Tasks.- Discrete-choice Multi-agent
Optimization: Decentralized Hard Constraint Satisfaction for Smart
Cities.- Deliberation and Voting in Approval-Based Multi-Winner
Elections.- Visionary Papers.- Designing Behavior Trees from Goal-Oriented
LTLf Formulas.- Discovery and Analysis of Rare High-Impact Failure Modes
Using Adversarial RL-Informed Sampling.- Anxiety Among Migrants - Questions
for Agent Simulation.- Should my Agent Lie for Me? A Study on Humans
Attitudes Towards Deceptive AI.-  Neuro-Symbolic AI + Agent Systems: A first
reflection on trends, opportunities and challenges.- Novelty Accommodating
Multi-Agent Planning in High Fidelity Simulated Open World.- Towards Reducing
School Segregation by Intervening on Transportation Networks.