Dr Hiroyuki Kido PhD

Adrannau llyfrau

• Baroni, P., Cerutti, F. and Giacomin, M. 2022. A generalized notion of consistency with applications to formal argumentation. In: Toni, . et al. eds. Computational Models of Argument., Vol. 353. Frontiers in Artificial Intelligence and Applications IOS Press, pp. 56-67., (10.3233/FAIA220141)

Cynadleddau

• Kido, H. 2022. Generative logic models for data-based symbolic reasoning. Presented at: 8th International Workshop on Artificial Intelligence and Cognition (AIC 2022), Örebro University, 15-17 June 2022.
• Kido, H. 2018. Bayesian model selection in statistical construction of justification. Presented at: Sixteenth International Conference on Principles of Knowledge Representation and Reasoning, Tempe, Arizona (USA), 27 October - 2 November 2018. pp. -.
• Kido, H. and Okamoto, K. 2017. A Bayesian approach to argument-based reasoning for attack estimation. Presented at: 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia, 19-25 August 2017 Presented at Sierra, C. ed.IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence. AAAI pp. 249-255.
• Kido, H. and Okamoto, K. 2017. Balancing between cognitive and semantic acceptability of arguments. Presented at: 10th International Conference on Knowledge Science, Engineering and Management, Melbourne, Australia, 19-20 Aug 2017 Presented at Li, G. et al. eds.Knowledge Science, Engineering and Management, Vol. 10412. Springer Verlag pp. 160-173., (10.1007/978-3-319-63558-3_14)

Erthyglau

• Kido, H. and Liao, B. 2022. A Bayesian approach to forward and inverse abstract argumentation problems. Journal of Applied Non-Classical Logics Volume, pp. 273-304. (10.1080/11663081.2022.2144830)
• Kido, H., Ohsawa, Y. and Nitta, K. 2017. Paretian argumentation frameworks for Pareto optimal arguments. Journal of Logic and Computation 27(1), pp. 213-225. (10.1093/logcom/exv012)
• Kido, H. and Cerutti, F. 2016. Formal reconciliatory dialogue based on shift from forward to backward deliberation. Argument and Computation 6(3), pp. 292-309. (10.1080/19462166.2016.1145139)

• Baroni, P., Cerutti, F. and Giacomin, M. 2022. A generalized notion of consistency with applications to formal argumentation. In: Toni, . et al. eds. Computational Models of Argument., Vol. 353. Frontiers in Artificial Intelligence and Applications IOS Press, pp. 56-67., (10.3233/FAIA220141)
• Kido, H. 2018. Bayesian model selection in statistical construction of justification. Presented at: Sixteenth International Conference on Principles of Knowledge Representation and Reasoning, Tempe, Arizona (USA), 27 October - 2 November 2018. pp. -.
• Kido, H. and Okamoto, K. 2017. A Bayesian approach to argument-based reasoning for attack estimation. Presented at: 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia, 19-25 August 2017 Presented at Sierra, C. ed.IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence. AAAI pp. 249-255.
• Kido, H. and Okamoto, K. 2017. Balancing between cognitive and semantic acceptability of arguments. Presented at: 10th International Conference on Knowledge Science, Engineering and Management, Melbourne, Australia, 19-20 Aug 2017 Presented at Li, G. et al. eds.Knowledge Science, Engineering and Management, Vol. 10412. Springer Verlag pp. 160-173., (10.1007/978-3-319-63558-3_14)
• Kido, H., Ohsawa, Y. and Nitta, K. 2017. Paretian argumentation frameworks for Pareto optimal arguments. Journal of Logic and Computation 27(1), pp. 213-225. (10.1093/logcom/exv012)
• Kido, H. and Cerutti, F. 2016. Formal reconciliatory dialogue based on shift from forward to backward deliberation. Argument and Computation 6(3), pp. 292-309. (10.1080/19462166.2016.1145139)