Dr Hiroyuki Kido
Lecturer
- kidoh@cardiff.ac.uk
- +44 (0)29 2251 1734
- Abacws, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Overview
I am a lecturer in the School of Computer Science and Informatics at Cardiff University. I have been studying artificial intelligence since around 2002 when I encountered the famous book Artificial Intelligence: A Modern Approach. I am currently interested in logic, machine learning and neuroscience. I have educational backgrounds in three different universities and research careers in industry, national institute and universities in Japan, China and the UK.
Biography
Projects (Principal Investigator)
- 2018 - 2022: Argument-Based Bayesian Generative Models for Argumentation Mining, Scientific Research C, Grants-in-Aid for Scientific Research <KAKENHI>
- 2015 - 2019: Argument-Based Data-Driven Conflict Studies, Scientific Research B (Generative Research Fields “Conflict Studies”), Grants-in-Aid for Scientific Research <KAKENHI>
Awards
- JSAI (the Japanese Society for Artificial Intelligence) best paper award 2012
Experience
- 2019 - Current: Lecturer, School of Computer Science and Informatics, Cardiff University, UK
- 2016 - 2019: Distinguished associate researcher, Institute of Logic and Cognition, Sun Yat-sen University, China
- 2013 - 2016: Jokyo (research associate/assistant professor) and project researcher, School of Engineering, The University of Tokyo, Japan
- 2011 - 2013: Postdoctoral researcher, National Institute of Advanced Industrial Science and Technology, Japan
- 2007 - 2008: Full-time employee, Information Technology R&D Center, Mitsubishi Electric Co., Ltd., Tokyo, Japan
Education
- 2008 - 2011: PhD in computational intelligence and systems science, Tokyo Institute of Technology, Japan
- 2005 - 2007: MSc in computer science, Hokkaido University, Japan
- 2001 - 2005: BSc in information engineering, Niigata University, Japan
Publications
2022
- 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)
2018
- 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. -.
2017
- 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)
2016
- 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)
Teaching
I am currently teaching the following modules.
- CM3112 (Artificial Intelligence)
- CMT215 (Automated Reasoning)
Please visit my personal page for my recent research activities.