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Ana Bazzan
Ana Bazzan
UFRGS
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Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Balancing Training Data for Automated Annotation of Keywords: a Case Study.
GE Batista, ALC Bazzan, MC Monard
WOB, 10-18, 2003
5502003
A review on agent-based technology for traffic and transportation
ALC Bazzan, F Klügl
The Knowledge Engineering Review 29 (3), 375-403, 2014
4092014
A distributed approach for coordination of traffic signal agents
ALC Bazzan
Autonomous Agents and Multi-Agent Systems 10 (2), 131-164, 2005
3742005
Opportunities for multiagent systems and multiagent reinforcement learning in traffic control
ALC Bazzan
Autonomous Agents and Multi-Agent Systems 18 (3), 342-375, 2009
3622009
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
3112017
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
3002011
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
2652000
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
2412002
Agent-based modeling and simulation
F Klügl, ALC Bazzan
AI Magazine 33 (3), 29, 2012
2402012
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
2352006
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
2002013
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
1652021
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
1482002
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
1442018
Agents in traffic modelling—from reactive to social behaviour
ALC Bazzan, J Wahle, F Klügl
Annual Conference on Artificial Intelligence, 303-306, 1999
1431999
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
1402008
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
1372019
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
134*2013
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
1322002
Learning in groups of traffic signals
ALC Bazzan, D de Oliveira, BC da Silva
Engineering Applications of Artificial Intelligence 23 (4), 560-568, 2010
1292010
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