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ORCIDAutonomous Agents and Multi-Agent Systems, Volume 33
Volume 33, Numbers 1-2, March 2019
- Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan:
A context-aware convention formation framework for large-scale networks. 1-34 - Shaheen Fatima
, Michael J. Wooldridge:
Computing optimal coalition structures in polynomial time. 35-83 - Pablo Pico-Valencia, Juan A. Holgado-Terriza, José A. Senso:
Towards an Internet of Agents model based on Linked Open Data approach. 84-131 - Yunyun Zhao, Xiangke Wang, Chang Wang, Yirui Cong, Lincheng Shen:
Systemic design of distributed multi-UAV cooperative decision-making for multi-target tracking. 132-158 - Cristina Cornelio, Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable:
Multi-agent soft constraint aggregation via sequential voting: theoretical and experimental results. 159-191 - Yoram Bachrach, Ian A. Kash, Peter B. Key, Joel Oren:
Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data. 192-215 - Régis Riveret, Yang Gao, Guido Governatori, Antonino Rotolo, Jeremy Pitt, Giovanni Sartor:
A probabilistic argumentation framework for reinforcement learning agents - Towards a mentalistic approach to agent profiles. 216-274
Volume 33, Number 3, May 2019
- Andrzej Kaczmarczyk, Piotr Faliszewski:
Algorithms for destructive shift bribery. 275-297 - John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen:
Inferring true voting outcomes in homophilic social networks. 298-329 - Maxime Bouton, Kyle D. Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Decomposition methods with deep corrections for reinforcement learning. 330-352 - Johan Arcile, Raymond R. Devillers, Hanna Klaudel:
VerifCar: a framework for modeling and model checking communicating autonomous vehicles. 353-381
Volume 33, Number 4, July 2019
- Zack Fitzsimmons, Edith Hemaspaandra:
High-multiplicity election problems. 383-402 - Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue, Zhiyong Feng:
SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes. 403-429 - Amin Ghafouri, Aron Laszka, Waseem Abbas, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos:
A game-theoretic approach for selecting optimal time-dependent thresholds for anomaly detection. 430-456 - Jieting Luo, John-Jules Ch. Meyer, Max Knobbout:
A formal framework for reasoning about opportunistic propensity in multi-agent systems. 457-479
Volume 33, Number 5, September 2019
- Dorin Shmaryahu, Guy Shani, Jörg Hoffmann:
Comparative criteria for partially observable contingent planning. 481-517 - Sushmita Gupta, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
Stability in barter exchange markets. 518-539 - Sylvain Bouveret, Katarína Cechlárová, Julien Lesca:
Chore division on a graph. 540-563 - Mattias Wahde, Mauro Bellone, Sina Torabi:
A method for real-time dynamic fleet mission planning for autonomous mining. 564-590 - Aurélie Beynier, Yann Chevaleyre, Laurent Gourvès, Ararat Harutyunyan, Julien Lesca, Nicolas Maudet, Anaëlle Wilczynski:
Local envy-freeness in house allocation problems. 591-627 - Ofra Amir, Finale Doshi-Velez, David Sarne:
Summarizing agent strategies. 628-644 - Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Expertise drift in referral networks. 645-671
Volume 33, Number 6, November 2019
- Avi Rosenfeld, Ariella Richardson:
Explainability in human-agent systems. 673-705 - Andreasa Morris-Martin, Marina De Vos, Julian A. Padget:
Norm emergence in multiagent systems: a viewpoint paper. 706-749 - Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
A survey and critique of multiagent deep reinforcement learning. 750-797 - Shibashis Guha, Orna Kupferman, Gal Vardi:
Multi-player flow games. 798-820
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