Articles dans des revues avec comité de lecture (121)
  1. 48. Martinez-Vaquero, L. A., Han, T. A. T., Pereira, L. M., & Lenaerts, T. (2017). When agreement-accepting free-riders are a necessary evil for the evolution of cooperation. Scientific reports, 7(1), 2478. doi:10.1038/s41598-017-02625-z
  2. 49. Han, T. A. T., Pereira, L. M., & Lenaerts, T. (2017). Commitment and participation in public goods games. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 3, 1431-1432.
  3. 50. Pereira, L. M., Lenaerts, T., Martinez-Vaquero, L. A., & Han, T. A. T. (2017). Social manifestation of guilt leads to stable cooperation in multi-agent systems. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 3, 1421-1430.
  4. 51. Huculeci, R. I., Cilia, E., Lyczek, A., Buts, L., Houben, K., Seeliger, M. M., van Nuland, N. A. J., & Lenaerts, T. (2016). Dynamically Coupled Residues within the SH2 Domain of FYN Are Key to Unlocking Its Activity. Structure, 24(11), 1947-1959. doi:10.1016/j.str.2016.08.016
  5. 52. Han, T. A. T., & Lenaerts, T. (2016). A synergy of costly punishment and commitment in cooperation dilemmas. Adaptive behavior, 24(4), 237-248. doi:10.1177/1059712316653451
  6. 53. Raimondi, D., Gazzo, A., Rooman, M., Lenaerts, T., & Vranken, W. (2016). Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects. Bioinformatics, 32(12), 1797-1804. doi:10.1093/bioinformatics/btw094
  7. 54. Zafra Ruano, A., Cilia, E., Couceiro, J. J., Ruiz Sanz, J., Schymkowitz, J. J., Rousseau, F., Luque, I., & Lenaerts, T. (2016). From Binding-Induced Dynamic Effects in SH3 Structures to Evolutionary Conserved Sectors. PLoS computational biology, 12(5), e1004938. doi:10.1371/journal.pcbi.1004938
  8. 55. Świderska, E., Łasisz, J., Byrski, A., Lenaerts, T., Samson, D., Indurkhya, B., Nowe, A., & Kisiel-Dorohinicki, M. (2016). Measuring diversity of socio-cognitively inspired ACO search. Lecture notes in computer science, 9597, 393-408. doi:10.1007/978-3-319-31204-0_26
  9. 56. Han, T. A. T., Pereira, L. M., & Lenaerts, T. (2016). Evolution of commitment and level of participation in public goods games. Autonomous agents and multi-agent systems, 24. doi:10.1007/s10458-016-9338-4
  10. 57. Bugajski, I., Byrski, A., Kisiel-Dorohinicki, M., Lenaerts, T., Samson, D., & Indurkhya, B. (2016). Adaptation of Population Structure in Socio-cognitive Particle Swarm Optimization. Procedia Computer Science, 101, 177-186. doi:10.1016/j.procs.2016.11.022
  11. 58. Bugajski, I., Listkiewicz, P., Byrski, A., Kisiel-Dorohinicki, M., Korczynski, W., Lenaerts, T., Samson, D., Indurkhya, B., & Nowe, A. (2016). Enhancing particle swarm optimization with socio-cognitive inspirations. Procedia Computer Science, 80, 804-813. doi:10.1016/j.procs.2016.05.370
  12. 59. Martinez-Vaquero, L. A., Gruji'c, J., & Lenaerts, T. (2016). Equivalence of cooperation indexes: Comment on Universal scaling for the dilemma strength in evolutionary games by Z. Wang et al. Physics of life reviews, 16, 196-197. doi:10.1016/j.plrev.2015.07.005
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