Ausgabe 1/2023
Inhalt (21 Artikel)
Interference-free walks in time: temporally disjoint paths
Nina Klobas, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Philipp Zschoche
Emergence of norms in interactions with complex rewards
Dhaminda B. Abeywickrama, Nathan Griffiths, Zhou Xu, Alex Mouzakitis
Unavoidable deadends in deterministic partially observable contingent planning
Lera Shtutland, Dorin Shmaryahu, Ronen I. Brafman, Guy Shani
Towards combining commonsense reasoning and knowledge acquisition to guide deep learning
Mohan Sridharan, Tiago Mota
Fast approximate bi-objective Pareto sets with quality bounds
William Bailey, Judy Goldsmith, Brent Harrison, Siyao Xu
Emotion contagion in agent-based simulations of crowds: a systematic review
E. S. van Haeringen, C. Gerritsen, K. V. Hindriks
Accountability in multi-agent organizations: from conceptual design to agent programming
Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi
Equitability and welfare maximization for allocating indivisible items
Ankang Sun, Bo Chen, Xuan Vinh Doan
Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach
Zorica Dodevska, Andrija Petrović, Sandro Radovanović, Boris Delibašić
Using soft maximin for risk averse multi-objective decision-making
Benjamin J. Smith, Robert Klassert, Roland Pihlakas
A refined complexity analysis of fair districting over graphs
Niclas Boehmer, Tomohiro Koana, Rolf Niedermeier
Learning by reusing previous advice: a memory-based teacher–student framework
Changxi Zhu, Yi Cai, Shuyue Hu, Ho-fung Leung, Dickson K. W. Chiu
Online Markov decision processes with non-oblivious strategic adversary
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
Egalitarian judgment aggregation
Sirin Botan, Ronald de Haan, Marija Slavkovik, Zoi Terzopoulou
Accelerating deep reinforcement learning via knowledge-guided policy network
Yuanqiang Yu, Peng Zhang, Kai Zhao, Yan Zheng, Jianye Hao
Electoral manipulation via influence: probabilistic model
Liangde Tao, Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi
Quantifying over information change with common knowledge
Thomas Ågotnes, Rustam Galimullin
Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football
Andries Smit, Herman A. Engelbrecht, Willie Brink, Arnu Pretorius
Fine-grained view on bribery for group identification
Niclas Boehmer, Robert Bredereck, Dušan Knop, Junjie Luo