On 7 September 2022 at 9am ET (see event times around the world), Takafumi Kato will present on Peircean Robots: Semiotics applied to the Emergence of Symbols. Those who wish to join in the live Q&A can do so here. KATO Takafumi is a full-time lecturer at Osaka Seikei University in Japan. He received his Ph.D. from Kyoto University in 2018. He is the author of “A Peircean Revision of the Theory of Extended Mind” (Cognitio: Revista de Filosofia, v.16, n.1, 2015) etc. and has so far translated into Japanese important works on pragmatism such as The Pragmatic Maxim (by C. Hookway, OUP, 2011), Perspectives on Pragmatism (by R. Brandom, HUP, 2011), and The American Pragmatists (by C. Misak, OUP, 2013). His research interests lie in Charles Sanders Peirce’s semiotics and its contemporary applications. Nowadays, Peircean semiotics receives enthusiastic attention from various kinds of scholars such as cultural anthropologists and frontier robotics researchers. His present research project overviews such interdisciplinary discussions as a philosopher and supplements them with an appropriate philosophical context, aiming to increase philosophers’ commitment to them and reveal a contemporary significance of pragmatist thoughts.
Commentary will be provided by Dr. Sachi Arafat, Assistant Professor of Data Science at KAU – King Abdulaziz University in Saudi Arabia. His research lay at the intersection of data science and philosophy of science & technology. He previously worked on quantum theory inspired models for characterizing socio-technical behaviour while a Royal Academy of Engineering Research Fellow at the School of Computing Science at the University of Glasgow (UK). His monograph Search Foundations (co-authored with E. Ashoori) with MIT Press (2019), was nominated for best book in information science (in 2020) by the Association for Information Science and Technology. Therein was proposed a new kind of science—inspired by the work on Heidegger and the classical philosophical tradition—for re-basing data and information science on rigorous philosophical foundations in order to create an explicitly explanatory science of AI from the ground-up for understanding technology-mediated experience.
Join the meeting room to participate in the live Q&A.
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