TY  - GEN
N2  - This book constitutes thoroughly refereed and revised selected best and visionary papers from the Workshops held at the International Conference on Autonomous Agents and Multiagent Systems AAMAS 2022, which took place online, during May 913, 2022. The 5 best papers and 4 visionary papers included in this book stem from the following workshops: - 13th Workshop on Optimization and Learning in Multi-agent Systems (OptLearnMAS); - 23rd Workshop on Multi-Agent Based Simulation (MABS); - 6th Workshop on Agent-Based Modelling of Urban Systems (ABMUS); - 10th Workshop on Engineering Multi-Agent Systems (EMAS); - 1st Workshop on Rebellion and Disobedience in AI (RaD-AI). There was a total of 59 submissions to these workshops.
DO  - 10.1007/978-3-031-20179-0
DO  - doi
AB  - This book constitutes thoroughly refereed and revised selected best and visionary papers from the Workshops held at the International Conference on Autonomous Agents and Multiagent Systems AAMAS 2022, which took place online, during May 913, 2022. The 5 best papers and 4 visionary papers included in this book stem from the following workshops: - 13th Workshop on Optimization and Learning in Multi-agent Systems (OptLearnMAS); - 23rd Workshop on Multi-Agent Based Simulation (MABS); - 6th Workshop on Agent-Based Modelling of Urban Systems (ABMUS); - 10th Workshop on Engineering Multi-Agent Systems (EMAS); - 1st Workshop on Rebellion and Disobedience in AI (RaD-AI). There was a total of 59 submissions to these workshops.
T1  - Autonomous agents and multiagent systems :best and visionary papers : AAMAS 2022 Workshops, virtual event, May 9-13, 2022, revised selected papers /
AU  - Melo, Francisco S.,
AU  - Fang, Fei,
VL  - 13441
CN  - Q334
N1  - Includes author index.
ID  - 1451218
KW  - Artificial intelligence
KW  - Multiagent systems
SN  - 9783031201790
SN  - 3031201795
TI  - Autonomous agents and multiagent systems :best and visionary papers : AAMAS 2022 Workshops, virtual event, May 9-13, 2022, revised selected papers /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20179-0
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20179-0
ER  -