Autonomous Agents and Multiagent Systems. Best and Visionary Papers (eBook, PDF)

AAMAS 2023 Workshops, London, UK, May 29 -June 2, 2023, Revised Selected Papers
Redaktion: Amigoni, Francesco; Sinha, Arunesh

• Format: PDF

Produktbeschreibung

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)

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 229
• Erscheinungstermin: 29. März 2024
• Englisch
• ISBN-13: 9783031562556
• Artikelnr.: 70574503

Inhaltsangabe

¿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.