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Publication search results
found 326 matches
- 2024
- Luis G. Nardin, Sara Mehryar:
Multi-Agent-Based Simulation XXIV - 24th International Workshop, MABS 2023, London, UK, May 29 - June 2, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14558, Springer 2024, ISBN 978-3-031-61033-2 [contents] - 2023
- Aliyu Tanko Ali, Tim Schrills, Andreas Schuldei, Leonard Stellbrink, André Calero Valdez, Martin Leucker, Thomas Franke:
Multi-agent Simulation of Intelligent Energy Regulation in Vehicle-to-Grid. MABS 2023: 160-172 - Benjamin C. D. De Bosscher, Seyed Sahand Mohammadi Ziabari, Alexei Sharpanskykh:
Towards a Better Understanding of Agent-Based Airport Terminal Operations Using Surrogate Modeling. MABS 2023: 16-29 - Bruce Edmonds, J. Gareth Polhill:
Combining Constraint-Based and Imperative Programming in MABS for More Reliable Modelling. MABS 2023: 46-57 - Maarten Jensen, Loïs Vanhée, Frank Dignum:
Dynamic Context-Sensitive Deliberation. MABS 2023: 112-126 - Emil Johansson, Fabian Lorig, Paul Davidsson:
Aspects of Modeling Human Behavior in Agent-Based Social Simulation - What Can We Learn from the COVID-19 Pandemic? MABS 2023: 83-98 - Veronika Kurchyna, Jan Ole Berndt, Ingo J. Timm:
Can (and Should) Automated Surrogate Modelling Be Used for Simulation Assistance? MABS 2023: 3-15 - Fatih Ozhamaratli, Paolo Barucca:
Multi-agent Financial Systems with RL: A Pension Ecosystem Case. MABS 2023: 58-79 - Zhanhua Pan, Zhaoxia Jing, Tianyao Ji, Yuhui Song:
A Multi-agent Simulation Model Considering the Bounded Rationality of Market Participants: An Example of GENCOs Participation in the Electricity Spot Market. MABS 2023: 129-145 - H. Van Dyke Parunak:
Learning Agent Goal Structures by Evolution. MABS 2023: 99-111 - Sami Saliba, Faraz Dadgostari, Stefan Hoops, Henning S. Mortveit, Samarth Swarup:
Active Sensing for Epidemic State Estimation Using ABM-Guided Machine Learning. MABS 2023: 30-45 - Alexey Tregubov, Jeremy Abramson, Christophe Hauser, Alefiya Hussain, Jim Blythe:
Modeling Cognitive Workload in Open-Source Communities via Simulation. MABS 2023: 146-159 - Fabian Lorig, Emma Norling:
Multi-Agent-Based Simulation XXIII - 23rd International Workshop, MABS 2022, Virtual Event, May 8-9, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13743, Springer 2023, ISBN 978-3-031-22946-6 [contents] - 2022
- Samuel Armstrong, Emma Norling:
Reconsidering an Agent-Based Model of Food Web Evolution. MABS 2022: 70-81 - Martin Harry Vargas Barrenechea, José Bruno do Nascimento Clementino:
An Agent-Based Model of Horizontal Mergers. MABS 2022: 28-40 - Luiz Fernando Braz, Cristina Maria D. Antona Bachert, Jaime Simão Sichman:
Simulating Work Teams Using MBTI Agents. MABS 2022: 57-69 - Elvira Van Damme, C. Natalie van der Wal, Gert Jan Hofstede, Frances M. T. Brazier:
The Influence of National Culture on Evacuation Response Behaviour and Time: An Agent-Based Approach. MABS 2022: 41-56 - Helen Harman, Elizabeth I. Sklar:
Challenges for Multi-Agent Based Agricultural Workforce Management. MABS 2022: 121-133 - Christian Kammler, René Mellema, Frank Dignum:
Agents Dealing with Norms and Regulations. MABS 2022: 134-146 - Benyamin De Leeuw, Seyed Sahand Mohammadi Ziabari, Alexei Sharpanskykh:
Surrogate Modeling of Agent-Based Airport Terminal Operations. MABS 2022: 82-94 - Bruna da Silva Leitzke, Diana Francisca Adamatti:
Land Use Management Using Multi-Agent Based Simulation in a Watershed in South of the Brazil. MABS 2022: 1-15 - Lukas Tapp, Veronika Kurchyna, Falco Nogatz, Jan Ole Berndt, Ingo J. Timm:
School's Out? Simulating Schooling Strategies During COVID-19. MABS 2022: 95-106 - Yu Yamashita, Shunki Takami, Shusuke Shigenaka, Masaki Onishi, Atsuyuki Morishima:
Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network. MABS 2022: 16-27 - Yasin Maan Yousif, Jörg P. Müller:
Generating Explanatory Saliency Maps for Mixed Traffic Flow Using a Behaviour Cloning Model. MABS 2022: 107-120 - Koen H. van Dam, Nicolas Verstaevel:
Multi-Agent-Based Simulation XXII - 22nd International Workshop, MABS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13128, Springer 2022, ISBN 978-3-030-94547-3 [contents] - 2021
- Peter Belcak, Jan-Peter Calliess, Stefan Zohren:
Fast Agent-Based Simulation Framework with Applications to Reinforcement Learning and the Study of Trading Latency Effects. MABS 2021: 42-56 - Darío Blanco-Fernández, Stephan Leitner, Alexandra Rausch:
Multi-level Adaptation of Distributed Decision-Making Agents in Complex Task Environments. MABS 2021: 29-41 - Jean-François Erdelyi, Frédéric Amblard, Benoit Gaudou, Elsy Kaddoum, Nicolas Verstaevel:
Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation. MABS 2021: 153-167 - Siavash Farahbakhsh, Mario Paolucci:
The Recruitment Game: An Agent-Based Simulation. MABS 2021: 168-179 - Arnaud Grignard, Tri Nguyen-Huu, Patrick Taillandier, Luis Alonso, Nicolas Ayoub, Markus Elkatsha, Gamaliel Palomo, Monica Gómez, Mario Siller, Mayra Gamboa, Carlos Iván Moreno, Kent Larson:
Using Agent-Based Modelling to Understand Advantageous Behaviours Against COVID-19 Transmission in the Built Environment. MABS 2021: 86-98
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