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  • Source: Proceedings. Conference titles: International Conference on Autonomous Agents and Multiagent Systems - AAMAS. Unidade: ICMC

    Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      ALVES, Matheus Aparecido do Carmo et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. 2023, Anais.. New York: ACM, 2023. Disponível em: https://dl.acm.org/doi/10.5555/3545946.3598629. Acesso em: 11 nov. 2024.
    • APA

      Alves, M. A. do C., Yourdshahi, E. S., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2023). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. In Proceedings. New York: ACM. doi:10.5555/3545946.3598629
    • NLM

      Alves MA do C, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Proceedings. 2023 ;[citado 2024 nov. 11 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629
    • Vancouver

      Alves MA do C, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Proceedings. 2023 ;[citado 2024 nov. 11 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629
  • Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC

    Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO

    Acesso à fonteDOIHow to cite
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    • ABNT

      YOURDSHAHI, Elnaz Shafpour et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 11 nov. 2024.
    • APA

      Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9
    • NLM

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
    • Vancouver

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
  • Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC

    Subjects: ALGORITMOS, APRENDIZAGEM, TRABALHO EM GRUPO

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      YOURDSHAHI, Elnaz Shafipour et al. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 11 nov. 2024.
    • APA

      Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9
    • NLM

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
    • Vancouver

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
  • Source: European Physical Journal B. Unidade: IFSC

    Subjects: SIMULAÇÃO, CONSCIÊNCIA (PERCEPÇÃO), FÍSICA TEÓRICA, INTELIGÊNCIA COLETIVA

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    • ABNT

      HARDY, Peter e MARCOLINO, Leandro Soriano e FONTANARI, José Fernando. The paradox of productivity during quarantine: an agent-based simulation. European Physical Journal B, v. 94, n. Ja 2021, p. 94-1-94-6, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjb/s10051-020-00016-4. Acesso em: 11 nov. 2024.
    • APA

      Hardy, P., Marcolino, L. S., & Fontanari, J. F. (2021). The paradox of productivity during quarantine: an agent-based simulation. European Physical Journal B, 94( Ja 2021), 94-1-94-6. doi:10.1140/epjb/s10051-020-00016-4
    • NLM

      Hardy P, Marcolino LS, Fontanari JF. The paradox of productivity during quarantine: an agent-based simulation [Internet]. European Physical Journal B. 2021 ; 94( Ja 2021): 94-1-94-6.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1140/epjb/s10051-020-00016-4
    • Vancouver

      Hardy P, Marcolino LS, Fontanari JF. The paradox of productivity during quarantine: an agent-based simulation [Internet]. European Physical Journal B. 2021 ; 94( Ja 2021): 94-1-94-6.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1140/epjb/s10051-020-00016-4

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