Luis Gustavo Nardin

Internet Technologies
Department of Informatics
Brandenburg University of Technology Cottbus-Senftenberg
Konrad-Wachsmann-Allee 5
VG1C, Raum 1.18
03046 Cottbus, Germany
Phone: +49 (0) 355 69 4629
Email: nardin@b-tu.de | gnardin@gmail.com

Interests

My research interests center around the use and development of (Multi)Agent-Based Modeling and Simulation methods and tools in combination with Artificial Intelligence and Statistical Analysis for understanding the impacts of social and human behaviors on the emergent properties of complex adaptive systems.


Publications

Theses

  • Nardin, L. G. (2015). An adaptive sanctioning enforcement model for normative multiagent systems. PhD thesis, University of São Paulo, São Paulo, Brazil. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • Nardin, L. G. (2005). Uso de sistemas multiagentes em sistemas sensíveis ao contexto. Software Engineering Specialization monograph, University of São Paulo, São Paulo, Brazil. [ bib | pdf ]

Books

  • Deutschmann, E., Lorenz, J., Nardin, L. G., Natalini, D., & Wilhelm, A. F. X. (Eds.). (In Press). Computational Conflict Research. Cham: Springer, Computational Social Sciences. [ bib | pdf ]
  • 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. [ bib | pdf ]

Journals

  • 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. [ bib | pdf ]
  • Székely, Á., Nardin, L. G., & Andrighetto, G. (2018). Countering protection rackets using legal and social approaches: An agent-based test. Complexity, 2018, 116. doi: 10.1155/2018/3568085. [ bib | pdf ]
  • 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), 90104. doi: 10.3390/g9040090. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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), 8599. doi: 10.1007/s12117-016-9287-y. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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), 11171147. doi: 10.1007%2fs10458-016-9330-z. [ bib | pdf ]
  • 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), 142166. doi: 10.1017/S0269888916000023. [ bib | pdf ]
  • 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), 334353. doi: 10.1177/0894439313511396. [ bib | pdf ]
  • 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), 113132. doi: 10.1007/s10588-012-9151-9. [ bib | pdf ]
  • 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), 7192. https://seer.ufrgs.br/rita/article/view/rita_v19_n1_p71. [ bib | pdf ]
  • 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), 14611471. doi: 10.1016/j.engappai.2011.05.004. [ bib | pdf ]

Chapters

  • Deutschmann, E., Lorez, J., & Nardin, L. G. (In Press). 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. 121). Cham: Springer. [ bib | pdf ]
  • Duffy, F., Klosek, K. C., Nardin, L. G., & Wagner, G. (In Press). 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. 128). Cham: Springer. [ bib | pdf ]
  • 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. 105116). Cham: Springer. doi: 10.1007/978-3-319-45169-5_7. [ bib | pdf ]
  • Székely, Á., Nardin, L. G., & Andrighetto, G. (2016). Norm dynamics in protection rackets. In C. Elsenbroich, D. Anzola, & N. Gilbert (Eds.), Social Dimensions of Organised Crime (pp. 4964). Cham: Springer. doi: 10.1007/978-3-319-45169-5_4. [ bib | pdf ]
  • Troitzch, 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. 217239). Cham: Springer. doi: 10.1007/978-3-319-45169-5_12. [ bib | pdf ]
  • 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. 6580). Cham: Springer. doi: 10.1007/978-3-319-23938-5_4. [ bib | pdf ]
  • 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. 3651). Hershey, PA: IGI Global. doi: 10.4018/978-1-4666-5954-4.ch003. [ bib | pdf ]
  • 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. 292307). Berlin, Heidelberg: Springer, LNCS v.5396. doi: 10.1007/978-3-540-92803-4_15. [ bib | pdf ]

Peer-Reviewed Conferences

Full Papers

  • Wagner, G. & Nardin, L. G. (2018). Adding agent concepts to object event modeling and simulation. In Proceedings of the 2018 Winter Simulation Conference (pp. 893904). Pistacaway, NJ: IEEE. [ bib | pdf ]
  • Lima, I. C. A., Nardin, L. G., & Sichman, J. S. (2018). Gavel: A sanctioning enforcement framework. In Proceedings of the 6th International Workshop on Engineering Multi-Agent Systems. Stockholm. [ bib | pdf ]
  • Visser, A., Nardin, L. G., & Casto, S. (2018). RoboCup Rescue simulation: Machine learning workshop. In Proceedings of the RoboCup 2018. Montréal. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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. 444454). Barcelona: Autònoma University of Barcelona. [ bib | pdf ]
  • 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. 453460). Reykjavik. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • Pereira, A. H., Nardin, L. G., & Sichman, J. S. (2011). Coordination of agents in the RoboCup Rescue: A partial global approach. In Agent Systems, their Environment and Applications, Workshop and School of (pp. 4550). Pistacaway, NJ: IEEE. doi: 10.1109/WESAAC.2011.10. [ bib | pdf ]
  • Nardin, L. G. & Sichman, J. S. (2010). Simulating the impact of trust in coalition formation: A preliminary analysis. In G. P. Dimuro, A. C. de R. Costa, J. S. Sichman, D. F. Adamatti, P. Tedesco, J. Balsa, & L. Antunes (Org.), Advances in Social Simulation, Post-Proceedings of the Brazilian Workshop on Social Simulation (pp. 3340). Pistacaway, NJ: IEEE. doi: 10.1109/BWSS.2010.12. [ bib | pdf ]
  • 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. 299310). São Bernardo do Campo. [ bib | pdf ]
  • 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. [ bib | pdf ]
  • 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 Workshop Proceedings v.427. [ bib | pdf ]

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. 161163). São Paulo. [ bib | pdf ]
  • 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. 189191). São Paulo. [ bib | pdf ]
  • 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. 140144). Estoril. [ bib | pdf ]

Pre-Prints

  • Baumgaertnet, 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 [ bib | pdf ]

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.
  • 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., Devezer, B., Baumgaertnet, B., & Buzbas, E. (2017). Theory, social aspects, and practice of reproducibility. Open and Reproducible Science Workshop. Moscow, ID, USA. [ pdf ]
  • 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. [ pdf ]
  • 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. [ pdf ]
  • 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. [ pdf ]
  • 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. [ pdf ]
  • 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. [ pdf ]

Projects

Current

Concluded


Employment

Academic

Industry

  • 20062010, System Architect, Computer Associates (CA), São PauloBrazil
  • 20032006, System Engineer, Murah Technologies, São PauloBrazil
  • 19972003, Support Engineer, Sonda do Brasil, CampinasBrazil
  • 19951995, Programmer, Brain Informática, LimeiraBrazil

Education


Mentoring

Current

Master

  • Silva, I. C. A. Sanction-based regulation mechanism for normative multiagent systems. University of São Paulo, São Paulo, Brazil.

Concluded

Master

  • Wang, Y. (December 2018). Teaching economics with Lengnick's Baseline Economy model. Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany.
  • Xu, K. (February 2018). Educational simulations based on the Lemonade Stand Game. Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany.
  • Lelo, J. C. (December 2017). Mafia: Simulating the influence on the economy. Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany.

Undergraduate

  • Rosset, L. M. (2014). Uso de sanções na formação e manutenção de parcerias entre agentes autônomos. Scientific Initiation. University of São Paulo, São Paulo, Brazil. [ bib | pdf ]
  • Barroso, A. D., Silva, V. L. O., & Santana, F. C. (2013). Uso de técnicas de coordenação entre agentes para operações de resgate em ambientes de desastre urbano. Final Course Project. Computer Engineering. University of São Paulo, São Paulo, Brazil. [ bib | pdf ]
  • Rosset, L. M. (2013). Simulação de parcerias entre agentes autônomos. Scientific Initiation. University of São Paulo, São Paulo, Brazil. [ bib | pdf ]
  • da Silva, A. B. M. (2012). Coordenação de agentes para RoboCup Rescue Agent Simulation. Scientific Initiation. University of São Paulo, São Paulo, Brazil. [ bib | pdf ]
  • Pereira, A. H. (2011). Time de agentes para RoboCup Rescue Agent Simulation. Scientific Initiation. University of São Paulo, São Paulo, Brazil. [ bib | pdf ]