Bio
György Kampis
Professor Kampis was born on 2 June 1958 in Budapest. He is married and has two children (36 and 31 years old). Full professor of philosophy of science (ELTE, Budapest, Hungary) since 2016, Senior Research Fellow (DFKI, Germany) since 2012.
Knowledge of languages: English (reading, writing, lecturing), German (reading, writing), Russian, Spanish, Japanese (reading at the basic level).
He teaches (since 2017) a course on agent-based modelling of complex systems at the TU Kaiserslautern. At ELTE, he teaches courses in philosophy of science and cognitive science since 2016. Prior to that, he taught courses in philosophy of science, history of science, cognitive science consciousness and the theory of mind in Hungarian and English at ELTE from 1995 to 2016.
In 2014-2020 he was a visiting professor in a PhD programme in computer science (ITMO University, St. Petersburg, Russia). In 2009, he was a Fulbright Research Fellow (6 months) at Indiana University, Bloomington, IN.
He is currently a member of the editorial board of J. Computational Science (Elsevier). In 2020, he has resigned from the editorial board of J. Cognitive Systems Research (Elsevier), where he has served also as a book review editor since 2017.
Recent projects and grants. Currently he is the manager in dFKI of the Humane AI Net EU H2020 project (an ICT48, 12m Euro grant). In 2019-2020 he was a member of the Humane AI Flagship preparatory grant (preparatory grant for 1 year, total 999.250 Euro). The Flagship program has meanwhile been closed. In 2019, he was part of the AI-Fora Phase I (Preparation Grant), VW Stiftung, and since 2020, he has been part of the AI-Fora Phase II (full) grant (total of € 149,812). He is the founding director of BSCS, the Budapest Semester in Cognitive Science (http://www.bscs-us.org). In addition, he has served as the head of the "comparative mind" database module of the ESF Network on Comparative Cognition.
His research interests include: cognitive science (intentionality, agency, consciousness, comparative intelligence), computer science, complex systems (networks, agent-based modelling), theoretical biology and evolution (evolutionary and ecological modelling, foundations, evolutionary technology), philosophy of science (causality, explanation), analytic philosophy (philosophy of mind).