Nardin, L. G. (2015). An adaptive sanctioning enforcement model for normative multiagent systems. PhD thesis, University of São Paulo, São Paulo, Brazil.
Nardin, L. G. (2009). Uma arquitetura de apoio à interoperabilidade de modelos de reputação de agentes. MSc dissertation, University of São Paulo, São Paulo, Brazil.
Nardin, L. G. (2005). Uso de sistemas multiagentes em sistemas sensíveis ao contexto. Software Engineering Specialization monograph, University of São Paulo, São Paulo, Brazil.
Books
Cranefield, S., Nardin, L. G., & Lloyd, N. (Eds.) (2025). Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII: International Workshop, COINE 2024, Auckland, New Zealand, May 7, 2024, Revised Selected Papers. Cham: Springer, Lecture Notes in Computer Science v.15398. doi: 10.1007/978-3-031-82039-7.
Nardin, L. G. & Mehryar, S. (Eds.) (2024). Multi-Agent-Based Simulation XXIV: 24th International Workshop, MABS 2023, London, UK, May 29 – June 2, 2023, Revised Selected Papers. Cham: Springer, Lecture Notes in Computer Science v.14558. doi: 10.1007/978-3-031-61034-9.
Deutschmann, E., Lorenz, J., Nardin, L. G., Natalini, D., & Wilhelm, A. F. X. (Eds.). (2020). Computational Conflict Research. Cham: Springer, Computational Social Sciences Book Series. doi: 10.1007/978-3-030-29333-8.
Nardin, L. G. & Antunes, L. (Eds.). (2017). Multi-Agent Based Simulation XVII: International Workshop, MABS 2016, Singapore, Singapore, May 10, 2016, Revised Selected Papers. Cham: Springer, Lecture Notes on Computer Science v.10399. doi: 10.1007/978-3-319-67477-3.
Journals
Suchar, V.-A. & Nardin, L. G. (2022). Simulation-based assessment of the effectiveness of tests for stationarity. Mathematics and Statistics, 10(3), 670-683. doi: 10.13189/ms.2022.100324.
Devezer, B., Nardin, L. G., Baumgaertner, B., & Burzbas, E. O. (2019). Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity. PLOS ONE, 14(5), e0216125. doi: 10.1371/journal.pone.0216125.
Székely, Á., Nardin, L. G., & Andrighetto, G. (2018). Countering protection rackets using legal and social approaches: An agent-based test. Complexity, 2018, 3568085. doi: 10.1155/2018/3568085.
Realpe-Gómez, J., Vilone, D., Andrighetto, G., Nardin, L. G., & Montoya, J. A. (2018). Learning dynamics and norm psychology supports human cooperation in a large-scale prisoner’s dilemma on networks. Games, 90(4), 90. doi: 10.3390/g9040090.
Realpe-Gómez, J., Andrighetto, G., Nardin, L. G., & Montoya, J. A. (2018). Balancing selfishness and norm conformity can explain human behavior in large-scale prisoner’s dilemma games and can poise human groups near criticality. Physical Review E, 97, 042321. doi: 10.1103/PhysRevE.97.042321.
Nardin, L. G., Székely, Á., & Andrighetto, G. (2017). GLODERS-S: A simulator for agent-based models of criminal organisations. Trends in Organized Crimes, 20(1-2), 85–99. doi: 10.1007/s12117-016-9287-y.
Nardin, L. G., Miller, C. R., Ridenhour, B. J., Krone, S. M., Joyce, P., & Baumgaertner, B. O. (2016). Planning horizon affects prophylactic decision-making and epidemic dynamics. PeerJ, 4, e2678. doi: 10.7717/peerj.2678.
Nardin, L. G., Andrighetto, G., Conte, R., Székely, Á., Anzola, D., Elsenbroich, C., Lotzmann, U., Neumann, M., Punzo, V., & Troitzsch, K. G. (2016). Simulating protection rackets: A case study of the Sicilian Mafia. Journal of Autonomous Agents and Multi-Agent Systems, 30(6), 1117–1147. doi: 10.1007%2fs10458-016-9330-z.
Nardin, L. G., Balke, T., Ajmeri, N., Kalia, A. A., Sichman, J. S., & Singh, M. P. (2016). Classifying sanctions and designing a conceptual sanctioning process model for socio-technical systems. The Knowledge Engineering Review, 31(2), 142–166. doi: 10.1017/S0269888916000023.
Villatoro, D., Andrighetto, G., Brandts, J., Nardin, L. G., Sabater-Mir, J., & Conte, R. (2014). The norm-signalling effects of group punishment: Combining agent-based simulation and laboratory experiments. Social Science Computer Review, 32(3), 334–353. doi: 10.1177/0894439313511396.
Nardin, L. G., Brandão, A. A. F., Kira, E., & Sichman, J. S. (2014). Effects of reputation communication expressiveness in virtual societies. Computational and Mathematical Organization Theory, 20(2), 113–132. doi: 10.1007/s10588-012-9151-9.
Pereira, A. H., Nardin, L. G., & Sichman,J. S. (2012). LTI Agent Rescue: A partial global approach for task allocation in the RoboCup Rescue. Revista de Informática Teórica e Aplicada, 19(1), 71–92. doi: 10.22456/2175-2745.21506.
Nardin, L. G., Brandão, A. A. F., & Sichman, J. S. (2011). Experiments on semantic interoperability of agent reputation models using the SOARI architecture. Engineering Applications of Artificial Intelligence, 24(8), 1461–1471. doi: 10.1016/j.engappai.2011.05.004.
Chapters
Yan, E., Nardin, L. G., Boissier, O., & Sichman, J. S. (2026). A unified view on regulation management in multi-agent systems. In Tzeng, S. T., Dell’Anna, D., Sichman, J. S. (Eds.) Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVIII (pp. 55-74). Cham: Springer, COINE 2025. LNCS v.16253. doi: 10.1007/978-3-032-17542-7_4.
Cabral, E. C., Torres, A. E., Heitor, M. M., Erpen, A., Steffen, M. A., Bornia, L. G., dos Santos, M. M., Nardin, L. G., & Marchi, J. (2026). Multi-agent system for fraud detection in the public administration. In Rocha, A., Adeli, H., Poniszewska-Maranda, A., Moreira, F., Bianchi, I. (Eds.), Emerging Trends in Information Systems and Technologies (pp. 591-599). Cham: Springer Nature Switzerland, WorldCIST 2025. LNNS v.1514. doi: 10.1007/978-3-031-97119-8_45.
Hemdane, N., Balbo, F., Nardin, L. G., & Gaudron, A. (2026). Towards understanding complex adaptive systems: An illustration on urban logistics. In Mathieu, P., de la Prieta, F. (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection (pp. 154-165). Cham: Springer Nature Switzerland, PAAMS Workshop 2025. LNCS v.16031. doi: 10.1007/978-3-032-07638-0_13.
Yan, E., Nardin, L. G., Boissier, O., & Sichman, J. S. (2025). A regulation adaptation model for multi-agent systems. In Lynce, I., Murano, N., Vallati, M., Villata, S., Chesani, F., Milano, M., Omicini, A., Dastani, M. (Eds.), 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy (pp. 3671-3678). Amsterdam: IOS Press, ECAI 2025. Frontiers in Artificial Intelligence and Applications v.413. doi: 10.3233/FAIA251245.
Yan, E., Nardin, L. G., Hübner, J. F., & Boissier, O. (2025). An agent-centric perspective on norm enforcement and sanctions. In Cranefield, S., Nardin, L. G., Lloyd, N. (Eds.), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII (pp. 79-99). Cham: Springer, COINE 2024. LNCS v.15398. doi: 10.1007/978-3-031-82039-7_6.
Hafiene, N., Nardin, L. G., & Boissier, O. (2025). Knowledge level support for programming agents to interact in regulated online forums. In Cranefield, S., Nardin, L. G., Lloyd, N. (Eds.), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII (pp. 100-112). Cham: Springer, COINE 2024. LNCS v.15398. doi: 10.1007/978-3-031-82039-7_7.
Hafiene, N., Nardin, L. G., Zimmermann, A., & Boissier, O. (2023). Governing online forum interactions with multi-agent system: A Reddit use case with the JaCaMo platform. In Mathieu, P., Dignum, F., Novais, P., De la Prieta, F. (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection (pp. 113–124). Cham: Springer, PAAMS 2023. LNCS v.13955. doi: 10.1007/978-3-031-37616-0_10.
Duffy, F., Klosek, K. C., Nardin, L. G., & Wagner, G. (2020). Rebel Group Protection Rackets: Simulating the effects of economic support on civil war violence. In E. Deutschmann, J. Lorenz, L.G. Nardin, D. Natalini, & A.F.X. Wilhelm (Eds.), Computational Conflict Research (pp. 225–251). Cham: Springer, Computational Social Sciences Book Series. doi: 10.1007/978-3-030-29333-8_11.
Deutschmann, E., Lorenz, J., & Nardin, L. G. (2020). Advancing conflict research through computational approaches. In E. Deutschmann, J. Lorenz, L.G. Nardin, D. Natalini, & A.F.X. Wilhelm (Eds.), Computational Conflict Research (pp. 1–19). Cham: Springer, Computational Social Sciences Book Series. doi: 10.1007/978-3-030-29333-8_1.
de Lima, I. C. A., Nardin, L. G., & Sichman, J. S. (2019). Gavel: A sanctioning enforcement framework. In D. Weyns, V. Mascardi, & A. Ricci (Eds.), Engineering Multi-Agent Systems (pp. 225–241). Cham: Springer. doi: 10.1007/978-3-030-25693-7_12.
Visser, A., Nardin, L. G., & Castro, S. (2019). Integrating the latest artificial intelligence algorithms into the RoboCup Rescue Simulation framework. In D. Holz, K. Genter, M. Saad, & O. von Stryk (Eds.), RoboCup 2018: Robot World Cup XXII (pp. 476–487). Cham: Springer, LNCS v.11374. doi: 10.1007/978-3-030-27544-0_39.
Nardin, L. G., Andrighetto, G., Székely, Á., Punzo, V., & Conte, R. (2016). An agent-based model of extortion racketeering. In C. Elsenbroich, D. Anzola, & N. Gilbert (Eds.), Social Dimensions of Organised Crime (pp. 105–116). Cham: Springer. doi: 10.1007/978-3-319-45169-5_7.
Székely, Á., Nardin, L. G., & Andrighetto, G. (2016). Social norms and extortion rackets. In C. Elsenbroich, D. Anzola, & N. Gilbert (Eds.), Social Dimensions of Organised Crime (pp. 49–64). Cham: Springer. doi: 10.1007/978-3-319-45169-5_4.
Troitzsch, K. G., Nardin, L. G., Andrighetto, G., Székely, Á., Punzo, V., Conte, R., & Elsenbroich, C. (2016). Calibration and validation. In C. Elsenbroich, D. Anzola, & N. Gilbert (Eds.), Social Dimensions of Organised Crime (pp. 217–239). Cham: Springer. doi: 10.1007/978-3-319-45169-5_12.
Nardin, L. G., Andrighetto, G., Székely, Á., & Conte, R. (2016). Modelling extortion racket systems: Preliminary results. In F. Cecconi (Ed.), New Frontiers in the Study of Social Phenomena: Cognition, Complexity, Adaptation (pp. 65–80). Cham: Springer. doi: 10.1007/978-3-319-23938-5_4.
Nardin, L. G., Rosset, L. M., & Sichman, J. S. (2014). Scale and topology effects on agent-based simulation: A trust-based coalition formation case study. In D. F. Adamatti, G. P. Dimuro, & H. Coelho (Eds.), Interdisciplinary Applications of Agent-Based Social Simulation and Modeling (pp. 36–51). Hershey, PA: IGI Global. doi: 10.4018/978-1-4666-5954-4.ch003.
Nardin, L. G., Brandão, A. A. F., Sichman, J. S., & Vercouter, L. (2008). SOARI: A service oriented architecture to support agent reputation models interoperability. In R. Falcone, S. K. Barber, J. Sabater-Mir, & M. P. Singh (Org.), Trust in Agent Societies (pp. 292–307). Berlin, Heidelberg: Springer, LNCS v.5396. doi: 10.1007/978-3-540-92803-4_15.
Conferences
Full Papers
Yan, E., Nardin, L. G., Hübner, J. F., Boissier, O., & Sichman, J. S. (2025). Perspectives on regulation adaptation in multi-agent systems: From agent to organization centric and beyond. In Anais do XIX Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações (pp. 39-50). Porto Alegre: SBC. doi: 10.5753/wesaac.2025.37527.
Land, K., Nardin, L. G., & Vogel-Heuser, B. (2023). Increasing robustness of agents’ decision-making in production automation using sanctioning. In Proceedings of the 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) (pp. 1-6). Pistacaway, NJ: IEEE. doi: 10.1109/INDIN51400.2023.10217852.
Wagh, V. K., Pathak, P., Stynes, P., & Nardin, L. G. (2020). An evacuation route model for disaster affected areas. In Proceedings of the 28th Irish Conference on Artificial Intelligence and Cognitive Science (pp. 61–72). Dublin: CEUR.org, CEUR Workshop Proceedings v.2771.
Wagner, G. & Nardin, L. G. (2018). Adding agent concepts to object event modeling and simulation. In Proceedings of the 2018 Winter Simulation Conference (pp. 893–904). Pistacaway, NJ: IEEE. doi: 10.1109/WSC.2018.8632381
Rosset, L. M., Nardin, L. G., & Sichman, J. S. (2014). Using reputation to improve partner selection in a Smart Grid environment. In Proceedings of the 4th Brazilian Workshop on Social Simulation. São Paulo.
Nardin, L. G., Andrighetto, G., Conte, R., & Paolucci, M. (2014). From anarchy to monopoly: How competition and protection shaped mafia’s behavior. In Advances in Computational Social Science and Social Simulation, Social Simulation Conference 2014 (pp. 444–454). Barcelona: Autònoma University of Barcelona.
Medina, A. C., Nardin, L. G., Pereira, N. N., Botter, R. C., & Sichman, J. S. (2013). A distributed simulation model of the maritime logistics in an iron ore supply chain management. In Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (pp. 453–460). Reykjavik: SciTePress. doi: 10.5220/0004488504530460.
Barroso, A. D., Santana, F. de C., Lassance, V., da Silva, A. B. M., Nardin, L. G., Brandão, A. A. F., & Sichman, J. S. (2013). RoboCup Rescue 2013 LTI Agent Rescue Team Description. In Proceedings of the RoboCup 2013. Eindhoven: RoboCup Federation.
da Silva, A. M. B., Nardin, L. G., & Sichman, J. S. (2012). Um método baseado em particionamento para exploração de ambientes de desastre. In Anais do 9o Encontro Nacional de Inteligência Artificial. Curitiba: Sociedade Brasileira de Computação.
Nardin, L. G. & Sichman, J. S. (2012). Trust-based coalition formation: A multiagent-based simulation. In Proceedings of the 4th World Congress on Social Simulation. Taipei.
Nardin, L. G. & Sichman, J. S. (2011). A study of the influence of trust in coalition formation. In Proceedings of the 2011 Computational Social Science Society of America Annual Conference. Santa Fe, NM.
Nardin, L. G., Brandão, A. A. F., Kira, E., & Sichman, J. S. (2011). Effects of communication expressiveness in agent reputation models interoperability: A multivariate analysis approach. In Proceedings of the 2nd International Conference on Reputation. Montpellier.
Brito, I., Hino, C., Gonçalves, P., Andrade, L., Moreira, C., Costa, G., Nardin, L. G., Yoshizaki, H. Y., & Magalhães, D. J. (2011). Reducing CO2 emissions due to a shift from road to cabotage transport of cargo in Brazil. In Proceedings of the 29th International Conference of The System Dynamics Society. Washington, DC.
Pereira, A. H., Nardin, L. G., Brandão, A. A. F., & Sichman, J. S. (2011). LTI Agent Rescue Team: A BDI-based approach for Robocup Rescue. In Proceedings of the RoboCup 2011. Istanbul: RoboCup Federation.
Pereira, A. H., Nardin, L. G., & Sichman, J. S. (2011). Coordination of agents in the RoboCup Rescue: A partial global approach. In 2011 Workshop and School of Agent Systems, their Environment and Applications (pp. 45–50). Pistacaway, NJ: IEEE. doi: 10.1109/WESAAC.2011.10.
Nardin, L. G. & Sichman, J. S. (2010). Simulating the impact of trust in coalition formation: A preliminary analysis. In G. P. Dimuro, J. S. Sichman, D. F. Adamatti, P. Tedesco, J. Balsa, & L. Antunes (Org.), 2010 Second Brazilian Workshop on Social Simulation (pp. 33–40). Pistacaway, NJ: IEEE. doi: 10.1109/BWSS.2010.12.
Nardin, L. G. & Sichman, J. S. (2010). SOARI: A service-oriented architecture to enable interoperability of agent reputation models. In Anais do 7o. Concurso de Teses e Dissertações em Inteligência Artificial (pp. 299–310). São Bernardo do Campo.
Nardin, L. G., Muller, G., Brandão, A. A. F., Vercouter, L., & Sichman, J. S. (2009). Effects of expressiveness and heterogeneity of reputation models in the ART testbed: Some preliminary experiments using the SOARI architecture. In Proceedings of the 12th International Workshop on Trust in Agent Societies. Budapest.
Nardin, L. G., Brandão, A. A. F., Sichman, J. S., & Vercouter, L. (2008). A service-oriented architecture to support agent reputation models interoperability. In Proceedings of the 3rd Workshop on Ontologies and Their Applications. Salvador: CEUR.org, CEUR Workshop Proceedings v.427.
Extended Abstracts
Rosset, L. M., Nardin, L. G., & Sichman, J. S. (2013). Use of High Performance computing in agent-based social simulation: A case study on trust-based coalition formation. In Anais do VII Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCações (pp. 161–163). São Paulo.
Barroso, A. D., Santana, F. de C., Lassance, V., Nardin, L. G., Brandão, A. A. F., & Sichman, J. S. (2013). Using agent coordination techniques to support rescue operations in urban disaster environments. In Anais do VII Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCações (pp. 189–191). São Paulo.
Nardin, L. G., Brandão, A. A. F., Sichman, J. S., & Vercouter, L. (2008). An ontology mapping service to support agent reputation models interoperability. In Proceedings of the 11th International Workshop on Trust in Agent Societies (pp. 140–144). Estoril.
Pre-Prints
Baumgaertner, B., Devezer, B., Buzbas, E., & Nardin, L. G. (2018). A model-centric analysis of openness, replication, and reproducibility. ArXiv e-prints. https://arxiv.org/abs/1811.04525
Posters
Nardin, L. G., Miller, C. R., Ridenhour, B. J., Krone, S. M., & Baumgaertner, B. O. (2016). Modeling how the planning horizon, risk perception and behavioral changes influence epidemic dynamics. NIH, NIGMS Sixth Biennial National IDeA Symposium of Biomedical Research Excellence. Washington, DC, USA.
Nardin, L. G. & Suchar, V. (2016). Simulation length run control using time series stationarity tests. NIH, NIGMS Sixth Biennial National IDeA Symposium of Biomedical Research Excellence. Washington, DC, USA.
de Lima, I. C. A., Nardin, L. G., & Sichman, J. S. (2016). A conceptual middleware for adaptive sanctioning in normative multi-agent systems. 10o. Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações. Maceio, Brazil.
Presentations
Nardin, L. G. (2025). Regulating Multiagent Systems: A Basis for Responsible AI. AI Agents and Human Insight? 3rd ENFIELD Webinar.. Online.
Nardin, L. G. (2024). Governing Sociotechnical Systems: A Normative MAS Approach. Data Analytics & Artificial Intelligence. Villeneuve-d’Ascq, France.
Nardin, L. G. (2023). Regulated MAS for Sociotechnical Systems. 2023 Workshop-School on Agents, Environments, and Applications. Pelotas, Brazil.
Farshid, F. & Nardin, L. G. (2021). RoboCup Rescue Simulation. HNPW 2021 Humanitarian Network Partnership Week. Online. https://youtu.be/nPUuU8ldYhs
Nardin, L. G. (2020). Bridging the gap between discrete-event and agent-based simulation. II Workshop em Modelagem e Simulação de Sistemas Intensivos em Software. Natal, Brazil.
Duffy, F., Klosek, K., Nardin, L. G., & Wagner, G. (2018). Rebel Groups Protection Rackets: Simulating the effects of economic support on civil war violence. CoMSES 2018 Virtual Conference. Online.
Nardin, L. G., Devezer, B., Baumgaertnet, B., & Buzbas, E. (2017). Theory, social aspects, and practice of reproducibility. Open and Reproducible Science Workshop. Moscow, ID, USA.
Nardin, L. G., Miller, C. R., Ridenhour, B. J., Krone, S. M., Joyce, P., & Baumgaertner, B. O. (2016). Planning horizon affects prophylactic decision-making and epidemic dynamics. International Congress on Agent Computing. Fairfax, VA, USA.
Nardin, L. G., Andrighetto, G., Székely, A., & Conte, R. (2015). Evaluating policies for countering extortion racket systems: A simulation approach. Societal Dimensions of Organised Crime. Rome, Italy.
Nardin, L. G., Andrighetto, G., Conte, R., & Paolucci, M. (2014). From anarchy to monopoly: How competition and protection shaped mafia’s behavior. European Conference on Complex Systems. Lucca, Italy.
Nardin, L. G., Andrighetto, G., Conte, R., & Paolucci, M. (2013). Competing racketeering policies: A simulation. 13th Annual Conference of the European Society of Criminology. Budapest, Hungary.
Ferreira, P. R. & Nardin, L. G. (2012). RoboCup Rescue Agent Simulation League. VI Workshop Escola de Sistema de Agentes, seus Ambientes e apliCações. Florianópolis, Brazil.
