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ORCID21st MABS 2020: Auckland, New Zealand
- Samarth Swarup
, Bastin Tony Roy Savarimuthu:
Multi-Agent-Based Simulation XXI - 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12316, Springer 2021, ISBN 978-3-030-66887-7 - Stig Bosmans, Toon Bogaerts, Wim Casteels, Siegfried Mercelis, Joachim Denil, Peter Hellinckx:
Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach. 1-12 - Hao Cheng, Fatema T. Johora, Monika Sester, Jörg P. Müller:
Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach? 13-27 - Yan Qian, Johan Barthélemy, Pascal Perez:
Towards Agent-Based Traffic Simulation Using Live Data from Sensors for Smart Cities. 28-40 - Yasutaka Nishimura, Taichi Shimura, Kiyoshi Izumi, Kiyohito Yoshihara:
Design and Evaluations of Multi-agent Simulation Model for Electric Power Sharing Among Households. 41-53 - Han-Ching Ou, Kai Wang, Finale Doshi-Velez, Milind Tambe:
Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. 54-65 - Amir Hosein Afshar Sedigh, Martin K. Purvis, Bastin Tony Roy Savarimuthu, Maryam A. Purvis, Christopher K. Frantz:
Impact of Meta-roles on the Evolution of Organisational Institutions. 66-80 - Alexey Tregubov, Jim Blythe:
Optimization of Large-Scale Agent-Based Simulations Through Automated Abstraction and Simplification. 81-93 - Kaidi Wang, Wenwen Zhang, Henning S. Mortveit, Samarth Swarup:
Improved Travel Demand Modeling with Synthetic Populations. 94-105
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