Using the causal graph to enhance translations to solve contingent planning problems (2017)
Fonte: Proceedings. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Assunto: INTELIGÊNCIA ARTIFICIAL
ABNT
ANDRÉS, Ignasi e BARROS, Leliane Nunes de. Using the causal graph to enhance translations to solve contingent planning problems. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/BRACIS.2016.023. Acesso em: 28 mar. 2024.APA
Andrés, I., & Barros, L. N. de. (2017). Using the causal graph to enhance translations to solve contingent planning problems. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2016.023NLM
Andrés I, Barros LN de. Using the causal graph to enhance translations to solve contingent planning problems [Internet]. Proceedings. 2017 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1109/BRACIS.2016.023Vancouver
Andrés I, Barros LN de. Using the causal graph to enhance translations to solve contingent planning problems [Internet]. Proceedings. 2017 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1109/BRACIS.2016.023