| Balancing Training Data for Automated Annotation of Keywords: a Case Study. GE Batista, ALC Bazzan, MC Monard WOB, 10-18, 2003 | 634 | 2003 |
| A review on agent-based technology for traffic and transportation ALC Bazzan, F Klügl The Knowledge Engineering Review 29 (3), 375-403, 2014 | 437 | 2014 |
| A distributed approach for coordination of traffic signal agents ALC Bazzan Autonomous Agents and Multi-Agent Systems 10 (2), 131-164, 2005 | 390 | 2005 |
| Opportunities for multiagent systems and multiagent reinforcement learning in traffic control ALC Bazzan Autonomous Agents and Multi-Agent Systems 18 (3), 342-375, 2009 | 367 | 2009 |
| Optimal electric vehicle fast charging station placement based on game theoretical framework Y Xiong, J Gan, B An, C Miao, ALC Bazzan IEEE Transactions on Intelligent Transportation Systems 19 (8), 2493-2504, 2017 | 344 | 2017 |
| Traffic light control in non-stationary environments based on multi agent Q-learning M Abdoos, N Mozayani, ALC Bazzan 2011 14th International IEEE conference on intelligent transportation …, 2011 | 317 | 2011 |
| Agent-based modeling and simulation F Klügl, ALC Bazzan AI Magazine 33 (3), 29, 2012 | 279 | 2012 |
| Decision dynamics in a traffic scenario J Wahle, ALC Bazzan, F Klügl, M Schreckenberg Physica A: Statistical Mechanics and its Applications 287 (3-4), 669-681, 2000 | 267 | 2000 |
| Dealing with non-stationary environments using context detection BC Da Silva, EW Basso, ALC Bazzan, PM Engel Proceedings of the 23rd international conference on Machine learning, 217-224, 2006 | 253 | 2006 |
| Reinforcement Learning in Urban Network Traffic Signal Control: A Systematic Literature Review M Noaeen, A Naik, L Goodman, J Crebo, T Abrar, B Far, ZSH Abad, ... engrXiv, 2021 | 247 | 2021 |
| The impact of real-time information in a two-route scenario using agent-based simulation J Wahle, ALC Bazzan, F Klügl, M Schreckenberg Transportation Research Part C: Emerging Technologies 10 (5-6), 399-417, 2002 | 245 | 2002 |
| Holonic multi-agent system for traffic signals control M Abdoos, N Mozayani, ALC Bazzan Engineering Applications of Artificial Intelligence 26 (5-6), 1575-1587, 2013 | 214 | 2013 |
| A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems MAL Silva, SR de Souza, MJF Souza, ALC Bazzan Expert Systems with Applications 131, 148-171, 2019 | 168 | 2019 |
| Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence J Schwarzrock, I Zacarias, ALC Bazzan, RQ de Araujo Fernandes, ... Engineering Applications of Artificial Intelligence 72, 10-20, 2018 | 168 | 2018 |
| Introduction to intelligent systems in traffic and transportation ALC Bazzan, F Klügl Synthesis Lectures on Artificial Intelligence and Machine Learning 7 (3), 1-137, 2013 | 149* | 2013 |
| Using BDI agents to improve driver modelling in a commuter scenario RJF Rossetti, RH Bordini, ALC Bazzan, S Bampi, R Liu, D Van Vliet Transportation Research Part C: Emerging Technologies 10 (5-6), 373-398, 2002 | 148 | 2002 |
| Agents in traffic modelling—from reactive to social behaviour ALC Bazzan, J Wahle, F Klügl Annual Conference on Artificial Intelligence, 303-306, 1999 | 143 | 1999 |
| Evaluating the performance of DCOP algorithms in a real world, dynamic problem R Junges, ALC Bazzan Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 138 | 2008 |
| AgentSpeak (XL): Efficient intention selection in BDI agents via decision-theoretic task scheduling RH Bordini, ALC Bazzan, R de O Jannone, DM Basso, RM Vicari, ... Proceedings of the first international joint conference on Autonomous agents …, 2002 | 138 | 2002 |
| Learning in groups of traffic signals ALC Bazzan, D de Oliveira, BC da Silva Engineering Applications of Artificial Intelligence 23 (4), 560-568, 2010 | 130 | 2010 |
Franziska KlueglProfessor in Computer Science, Örebro UniversityVerified email at frohnmeyer.de
