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ORCIDAna L. C. Bazzan
Ana Lúcia C. Bazzan – Ana Lúcia Cetertich Bazzan
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- affiliation: Federal University of Rio Grande do Sul, Porto Alegre, Brazil
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2020 – today
- 2024
[j65]Ana L. C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari:
Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers. AI Commun. 37(2): 185-187 (2024)- [j64]Ana Lúcia C. Bazzan, Vicente Nejar de Almeida, Monireh Abdoos:
Transferring experiences in k-nearest neighbors based multiagent reinforcement learning: an application to traffic signal control. AI Commun. 37(2): 247-259 (2024) - [j63]Henrique U. Gobbi
, Guilherme Dytz dos Santos, Ana L. C. Bazzan:
Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information. Comput. Sci. Inf. Syst. 21(1): 291-308 (2024) - [j62]Vicente Nejar de Almeida, Lucas N. Alegre, Ana L. C. Bazzan:
Knowledge transfer in multi-objective multi-agent reinforcement learning via generalized policy improvement. Comput. Sci. Inf. Syst. 21(1): 335-362 (2024) - [j61]Marin Lujak, Ana L. C. Bazzan, Ivana Dusparic, Giuseppe Vizzari:
Guest editorial: Role of agents in traffic and transportation. Comput. Sci. Inf. Syst. 21(1): v-vi (2024) - [c151]Ana L. C. Bazzan, Henrique U. Gobbi:
Learning From Your Virtual Neighbors: a Reinforcement Learning Approach to Traffic Signal Control. ATT@ECAI 2024: 31-43 - [e16]Ana Lúcia C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari:
Thirteenth International Workshop on Agents in Traffic and Transportation co-located with the the 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19, 2024. CEUR Workshop Proceedings 3813, CEUR-WS.org 2024 [contents] - 2023
- [j60]Di Mei, I-An Huang, Anita Raja, Mohammad Rashedul Hasan, Ana L. C. Bazzan:
Traffic optimization using a coordinated route updating mechanism. J. Intell. Transp. Syst. 27(5): 626-642 (2023) - [j59]Candy A. Huanca-Anquise, Ana Lúcia Cetertich Bazzan, Anderson R. Tavares:
Multi-Objective, Multi-Armed Bandits: Algorithms for Repeated Games and Application to Route Choice. RITA 30(1): 11-23 (2023) - [c150]Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva:
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. AAMAS 2023: 2003-2012 - [c149]Lucas Nunes Alegre, Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva:
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models. NeurIPS 2023 - [c148]Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva:
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. NeurIPS 2023 - [p5]Ana L. C. Bazzan, Anderson R. Tavares, André G. Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luís Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira:
"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. Escola de Computação PPGC/UFRGS 50 Anos 2023: 167-209 - [i10]Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva:
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. CoRR abs/2301.07784 (2023) - [i9]Ana L. C. Bazzan, Anderson R. Tavares, André G. Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luis Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira:
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR abs/2310.18324 (2023) - 2022
- [j58]Mohammad Noaeen, Atharva Naik, Liana Goodman, Jared Crebo, Taimoor Abrar, Zahra Shakeri Hossein Abad, Ana L. C. Bazzan, Behrouz H. Far:
Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Syst. Appl. 199: 116830 (2022) - [j57]Jorge C. Chamby-Diaz, Rhuam Sena Estevam, Ana L. C. Bazzan:
Identifying traffic conditions from non-traffic related sources. J. Intell. Transp. Syst. 26(1): 116-127 (2022) - [j56]Matheus Vieira Lessa Ribeiro, Jorge Leonid Aching Samatelo, Ana Lúcia Cetertich Bazzan:
A New Microscopic Approach to Traffic Flow Classification Using a Convolutional Neural Network Object Detector and a Multi-Tracker Algorithm. IEEE Trans. Intell. Transp. Syst. 23(4): 3797-3801 (2022) - [j55]Lucas Nunes Alegre, Theresa Ziemke, Ana L. C. Bazzan:
Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation. IEEE Trans. Intell. Transp. Syst. 23(7): 9126-9135 (2022) - [c147]Taylor de O. Antes, Ana L. C. Bazzan, Anderson Rocha Tavares:
Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control. ANT/EDI40 2022: 24-31 - [c146]Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. ICML 2022: 394-413 - [c145]Vicente Nejar de Almeida, Ana L. C. Bazzan, Monireh Abdoos:
Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach. ATT@IJCAI 2022: 32-46 - [c144]Guilherme Dytz dos Santos, Ana L. C. Bazzan:
A Multiobjective Reinforcement Learning Approach to Trip Building. ATT@IJCAI 2022: 160-174 - [c143]Lincoln Vinicius Schreiber, Lucas Nunes Alegre, Ana L. C. Bazzan, Gabriel de Oliveira Ramos:
On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. IJCNN 2022: 1-8 - [e15]Ana Lúcia C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari:
Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25, 2022. CEUR Workshop Proceedings 3173, CEUR-WS.org 2022 [contents] - [i8]Ana L. C. Bazzan:
Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand. CoRR abs/2204.03570 (2022) - [i7]Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. CoRR abs/2206.11326 (2022) - 2021
- [j54]Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan:
Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control. AI Commun. 34(1): 89-103 (2021) - [j53]Franziska Klügl, Ana Lúcia C. Bazzan:
Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach. AI Commun. 34(1): 105-119 (2021) - [j52]Monireh Abdoos, Ana L. C. Bazzan:
Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory. Expert Syst. Appl. 171: 114580 (2021) - [j51]Guilherme Dytz dos Santos, Ana L. C. Bazzan, Arthur Prochnow Baumgardt:
Using Car to Infrastructure Communication to Accelerate Learning in Route Choice. J. Inf. Data Manag. 12(1) (2021) - [j50]Guilherme Dytz dos Santos, Ana L. C. Bazzan:
Sharing diverse information gets driver agents to learn faster: an application in en route trip building. PeerJ Comput. Sci. 7: e428 (2021) - [j49]Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control. PeerJ Comput. Sci. 7: e575 (2021) - [j48]Mojtaba Norouzi, Monireh Abdoos, Ana L. C. Bazzan:
Experience classification for transfer learning in traffic signal control. J. Supercomput. 77(1): 780-795 (2021) - [c142]Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. AAMAS 2021: 97-105 - [c141]João V. B. Labres, Ana L. C. Bazzan, Monireh Abdoos:
Improving Traffic Signal Control With Joint-Action Reinforcement Learning. SSCI 2021: 1-8 - [i6]Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. CoRR abs/2105.09452 (2021) - 2020
- [j47]Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, M. Maccarron, J. Hillner:
Gendered Networks and Communicability in Medieval Historical Narratives. Adv. Complex Syst. 23(3): 2050006:1-2050006:22 (2020) - [j46]Camil S. Z. Redwan, Ana L. C. Bazzan:
How Hard is for Agents to Learn the User equilibrium? Characterizing Traffic Networks by means of Entropy. Adv. Complex Syst. 23(4): 2050011:1-2050011:32 (2020) - [j45]Ana L. C. Bazzan:
I will be there for you: clique, character centrality, and community detection in Friends. Comput. Appl. Math. 39(3) (2020) - [j44]Bernardo Trevizan, Jorge C. Chamby-Diaz, Ana L. C. Bazzan, Mariana Recamonde Mendoza:
A comparative evaluation of aggregation methods for machine learning over vertically partitioned data. Expert Syst. Appl. 152: 113406 (2020) - [j43]Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé:
Toll-based reinforcement learning for efficient equilibria in route choice. Knowl. Eng. Rev. 35: e8 (2020) - [j42]Ana Lúcia Cetertich Bazzan:
Similar Yet Different: the Structure of Social Networks of Characters in Seinfeld, Friends, How I met Your Mother, and The Big Bang Theory. RITA 27(2): 66-80 (2020) - [j41]Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan:
Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation. Simul. Model. Pract. Theory 104: 102126 (2020) - [c140]Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan:
A Reinforcement Learning Approach with Fourier Basis Linear Function Approximation for Traffic Signal Control. ATT@ECAI 2020: 55-62 - [c139]Ana L. C. Bazzan, Franziska Klügl:
Experience Sharing in a Traffic Scenario. ATT@ECAI 2020: 71-78 - [c138]Eduardo C. Paim, Ana L. C. Bazzan, Camelia Chira:
Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning. SSCI 2020: 2225-2232 - [i5]Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control. CoRR abs/2004.04778 (2020) - [i4]Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan:
Quantitatively Assessing the Benefits of Model-driven Development in Agent-based Modeling and Simulation. CoRR abs/2006.08820 (2020)
2010 – 2019
- 2019
- [j40]Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan:
A context-aware convention formation framework for large-scale networks. Auton. Agents Multi Agent Syst. 33(1-2): 1-34 (2019) - [j39]Vadim Levit, Zohar Komarovsky, Tal Grinshpoun, Ana L. C. Bazzan, Amnon Meisels:
Incentive-based search for equilibria in boolean games. Constraints An Int. J. 24(3-4): 288-319 (2019) - [j38]Ana L. C. Bazzan:
Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning. Eng. Appl. Artif. Intell. 79: 23-33 (2019) - [j37]Maria Amélia Lopes Silva, Sérgio Ricardo de Souza, Marcone Jamilson Freitas Souza, Ana Lúcia C. Bazzan:
A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems. Expert Syst. Appl. 131: 148-171 (2019) - [c137]Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan:
A Context-aware Convention Formation Framework for Large-Scale Networks. AAMAS 2019: 1533-1535 - [c136]Jorge Cristhian Chamby-Diaz, Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan:
Dynamic Correlation-Based Feature Selection for Feature Drifts in Data Streams. BRACIS 2019: 198-203 - [c135]Jorge Cristhian Chamby-Diaz, Ana L. C. Bazzan:
Identifying Traffic Event Types from Twitter by Multi-Label Classification. BRACIS 2019: 806-811 - [c134]Ana L. C. Bazzan, Jorge Cristhian Chamby-Diaz, Rhuam Sena Estevam, Leonardo de Abreu Schmidt, Marcia Pasin, Jorge Leonid Aching Samatelo, Matheus Vieira Lessa Ribeiro:
Using Information from Heterogeneous Sources and Machine Learning in Intelligent Transportation Systems. ICCP 2019: 213-220 - 2018
- [j36]Janaina Schwarzrock, Iulisloi Zacarias, Ana L. C. Bazzan, Ricardo Queiroz de Araujo Fernandes, Leonardo Henrique Moreira, Edison Pignaton de Freitas:
Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence. Eng. Appl. Artif. Intell. 72: 10-20 (2018) - [j35]Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan:
Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain. Simul. Model. Pract. Theory 83: 162-187 (2018) - [j34]Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan:
Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework. IEEE Trans. Intell. Transp. Syst. 19(8): 2493-2504 (2018) - [c133]Liza Lunardi Lemos, Ana L. C. Bazzan, Marcia Pasin:
Co-Adaptive Reinforcement Learning in Microscopic Traffic Systems. CEC 2018: 1-8 - [c132]Ana L. C. Bazzan:
Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning. EvoApplications 2018: 185-201 - [c131]Jorge C. Chamby-Diaz, Mariana Recamonde Mendoza, Ana L. C. Bazzan, Ricardo Grunitzki:
Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. IJCNN 2018: 1-8 - [c130]Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan:
Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. IJCNN 2018: 1-8 - [c129]Thiago Bell Felix de Oliveira, Ana L. C. Bazzan, Bruno C. da Silva, Ricardo Grunitzki:
Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. IJCNN 2018: 1-8 - [c128]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [e14]Ana Lúcia C. Bazzan, Luca Crociani, Ivana Dusparic, Sascha Ossowski:
Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, including ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018), Stockholm, Sweden, July 14, 2018. CEUR Workshop Proceedings 2129, CEUR-WS.org 2018 [contents] - [i3]Ana L. C. Bazzan:
I will be there for you: six friends in a clique. CoRR abs/1804.04408 (2018) - 2017
- [j33]Andrew Koster, Ana L. C. Bazzan, Marcelo de Souza:
Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources. Artif. Intell. Rev. 48(2): 219-235 (2017) - [c127]Ana L. C. Bazzan:
Trying to Fix Traffic: Past, Present, and Some Future Trends. AAMAS 2017: 1 - [c126]Gabriel de Oliveira Ramos, Bruno Castro da Silva, Ana L. C. Bazzan:
Learning to Minimise Regret in Route Choice. AAMAS 2017: 846-855 - [c125]Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan:
A Flexible Approach for Designing Optimal Reward Functions. AAMAS 2017: 1559-1561 - [c124]Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan:
Model-Driven Engineering in Agent-based Modeling and Simulation: a Case Study in the Traffic Signal Control Domain. AAMAS 2017: 1725-1727 - [c123]Deividi Moreira, Fernando dos Santos, Matheus Barbieri, Ingrid Nunes, Ana L. C. Bazzan:
ABStractme: Modularized Environment Modeling in Agent-based Simulations. AAMAS 2017: 1802-1804 - [c122]Matheus Alves, Ana L. C. Bazzan, Mariana Recamonde Mendoza:
Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks. BRACIS 2017: 7-12 - [c121]Ricardo Grunitzki, Ana L. C. Bazzan:
Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem. BRACIS 2017: 139-144 - [c120]Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan:
Supporting the Development of Agent-Based Simulations: A DSL for Environment Modeling. COMPSAC (1) 2017: 170-179 - [c119]Ana L. C. Bazzan:
Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions. GECCO (Companion) 2017: 201-202 - [c118]Ana L. C. Bazzan:
Multiagent systems and agent-based modeling and simulation. GECCO (Companion) 2017: 959-1004 - [c117]João Guilherme Faccin, Ingrid Nunes, Ana L. C. Bazzan:
Understanding the Behaviour of Learning-Based BDI Agents in the Braess' Paradox. MATES 2017: 187-204 - [e13]Mohammad-Reza Namazi-Rad, Lin Padgham, Pascal Perez, Kai Nagel, Ana L. C. Bazzan:
Agent Based Modelling of Urban Systems - First International Workshop, ABMUS 2016, Held in Conjunction with AAMAS, Singapore, Singapore, May 10, 2016, Revised, Selected, and Invited Papers. Lecture Notes in Computer Science 10051, Springer 2017, ISBN 978-3-319-51956-2 [contents] - [e12]Bo An, Ana L. C. Bazzan, João Leite, Serena Villata, Leendert W. N. van der Torre:
PRIMA 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings. Lecture Notes in Computer Science 10621, Springer 2017, ISBN 978-3-319-69130-5 [contents] - [i2]Silvio R. Dahmen, Ana L. C. Bazzan, R. Gramsch:
Community Detection in the Network of German Princes in 1225: a Case Study. CoRR abs/1701.01434 (2017) - 2016
- [j32]Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, Pádraig Mac Carron, Ralph Kenna:
Temporal Network Analysis of Literary Texts. Adv. Complex Syst. 19(3): 1650005:1-1650005:19 (2016) - [j31]Mariana Recamonde Mendoza, Ana L. C. Bazzan:
Social choice in distributed classification tasks: Dealing with vertically partitioned data. Inf. Sci. 332: 56-71 (2016) - [c116]Gabriel de Oliveira Ramos, Ana L. C. Bazzan:
Efficient local search in traffic assignment. CEC 2016: 1493-1500 - [c115]Niels A. H. Agatz, Ana L. C. Bazzan, Ronny J. Kutadinata, Dirk Christian Mattfeld, Monika Sester, Stephan Winter, Ouri Wolfson:
Autonomous car and ride sharing: flexible road trains: (vision paper). SIGSPATIAL/GIS 2016: 10:1-10:4 - [c114]Ricardo Grunitzki, Ana L. C. Bazzan:
Combining Car-to-Infrastructure Communication and Multi-Agent Reinforcement Learning in Route Choice. ATT@IJCAI 2016 - [c113]Gabriel de Oliveira Ramos, Ana L. C. Bazzan:
On Estimating Action Regret and Learning From It in Route Choice. ATT@IJCAI 2016 - [c112]Fernando Stefanello, Bruno Castro da Silva, Ana L. C. Bazzan:
Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks. ATT@IJCAI 2016 - [c111]Ana L. C. Bazzan, Ricardo Grunitzki:
A multiagent reinforcement learning approach to en-route trip building. IJCNN 2016: 5288-5295 - [c110]Mohammad Rashedul Hasan, Ana L. C. Bazzan, Eliyahu Friedman, Anita Raja:
A multiagent solution to overcome selfish routing in transportation networks. ITSC 2016: 1850-1855 - [c109]Marcelo de Souza, Marcus Ritt, Ana L. C. Bazzan:
A bi-objective method of traffic assignment for electric vehicles. ITSC 2016: 2319-2324 - [e11]Ana Lúcia C. Bazzan, Franziska Klügl, Sascha Ossowski, Giuseppe Vizzari:
Proceedings of the Ninth International Workshop on Agents in Traffic and Transportation (ATT 2016) co-located with the 25th International Joint Conference On Artificial Intelligence (IJCAI 2016), New York, USA, July 10, 2016. CEUR Workshop Proceedings 1678, CEUR-WS.org 2016 [contents] - [i1]Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, Pádraig Mac Carron, Ralph Kenna:
Temporal Network Analysis of Literary Texts. CoRR abs/1602.07275 (2016) - 2015
- [j30]Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan:
Towards reinforcement learning for holonic multi-agent systems. Intell. Data Anal. 19(2): 211-232 (2015) - [j29]Gabriel de Oliveira Ramos, Juan C. Burguillo, Ana L. C. Bazzan:
A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids. Multiagent Grid Syst. 11(3): 167-187 (2015) - [j28]Rodrigo de Abreu Batista, Ana Lúcia Cetertich Bazzan:
Identification of Central Points in Road Networks using Betweenness Centrality Combined with Traffic Demand. Polibits 52: 85-91 (2015) - [c108]Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan:
Fast Convention Formation in Dynamic Networks Using Topological Knowledge. AAAI 2015: 2067-2073 - [c107]Ana L. C. Bazzan, Camelia Chira:
A Hybrid Evolutionary and Multiagent Reinforcement Learning Approach to Accelerate the Computation of Traffic Assignment: (Extended Abstract). AAMAS 2015: 1723-1724 - [c106]Gabriel de Oliveira Ramos, Ana Lúcia Cetertich Bazzan:
Towards the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking. GECCO 2015: 473-480 - [c105]Camelia Chira, Ana L. C. Bazzan:
Route assignment using multi-objective evolutionary search. ICCP 2015: 141-148 - [c104]Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan:
Optimal Electric Vehicle Charging Station Placement. IJCAI 2015: 2662-2668 - [c103]Camelia Chira, Ana L. C. Bazzan, Rosaldo J. F. Rossetti:
Multi-objective Evolutionary Traffic Assignment. ITSC 2015: 1177-1182 - [c102]Ana L. C. Bazzan, Gabriel de Oliveira Ramos:
Forming Coalitions of Electric Vehicles in Constrained Scenarios. PAAMS (Workshops) 2015: 237-248 - [c101]Daniel Cagara, Björn Scheuermann, Ana L. C. Bazzan:
Traffic optimization on Islands. VNC 2015: 175-182 - 2014
- [j27]Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan:
Hierarchical control of traffic signals using Q-learning with tile coding. Appl. Intell. 40(2): 201-213 (2014) - [j26]Francisco C. Pereira, Ana L. C. Bazzan, Moshe E. Ben-Akiva:
The Role of Context in Transport Prediction. IEEE Intell. Syst. 29(1): 76-80 (2014) - [j25]Gabriel de Oliveira Ramos, Juan C. Burguillo, Ana L. C. Bazzan:
Dynamic constrained coalition formation among electric vehicles. J. Braz. Comput. Soc. 20(1): 8:1-8:15 (2014) - [j24]Anderson Rocha Tavares, Ana L. C. Bazzan:
An agent-based approach for road pricing: system-level performance and implications for drivers. J. Braz. Comput. Soc. 20(1): 15:1-15:15 (2014) - [j23]Ana L. C. Bazzan, Franziska Klügl:
A review on agent-based technology for traffic and transportation. Knowl. Eng. Rev. 29(3): 375-403 (2014) - [j22]Ana L. C. Bazzan:
Beyond Reinforcement Learning and Local View in Multiagent Systems. Künstliche Intell. 28(3): 179-189 (2014) - [c100]Ricardo Grunitzki, Gabriel de Oliveira Ramos, Ana Lúcia C. Bazzan:
Individual versus Difference Rewards on Reinforcement Learning for Route Choice. BRACIS 2014: 253-258 - [c99]Jorge Leonid Aching Samatelo, Thiago Bell Felix de Oliveira, Ana L. C. Bazzan:
Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping. CIVTS 2014: 6-13 - [c98]Ana L. C. Bazzan, Daniel Cagara, Björn Scheuermann:
An evolutionary approach to traffic assignment. CIVTS 2014: 43-50 - [c97]Ana L. C. Bazzan, Silvio R. Dahmen:
Evolving the topology of subway networks using genetic algorithms. CIVTS 2014: 59-63 - [c96]Daniel Cagara, Ana L. C. Bazzan, Björn Scheuermann:
Getting you faster to work: a genetic algorithm approach to the traffic assignment problem. GECCO (Companion) 2014: 105-106 - [c95]