Causal Cognition in Humans and Machines
Oxford, 3-4 May 2019
Call for Presenters and Registration
Causal Cognition in Humans and Machines is a two-day interdisciplinary workshop that will bring together academic researchers from the fields of psychology, physics, neuroscience, cognitive science, linguistics, education, computer science, and philosophy.
Work on causal cognition in humans focuses on mapping and understanding the development of cognitive processes that are involved in reasoning about cause-effect relations in both everyday life and in more formal contexts such as science. Research in computer science and AI has moved closer to modelling human cognition, aiming to capture a variety of cognitive modes by taking inspiration from leading psychologists. This is therefore a particularly good moment for researchers from these different backgrounds to share different theoretical frameworks and methodologies. For more information please click here https://www.causalcognitioninhumansandmachines.com/
Key speakers will be: Woo-Kyoung Ahn (Yale), Mark Bishop (Goldsmiths), Bob Coecke (Oxford), York Hagmayer (Goettingen), David Lagnado (University College London), Teresa McCormack (Queens Belfast), Ognyan Oreshkov (Universite Libre de Bruxelles), Jonhattan Barrett (Oxford), Matty Hoban (Goldsmith), Anne Schlottmann (University College London), Dusko Pavlovic (Hawaii), Steven Sloman (Brown).
Call for submissions
Researchers interested in presenting brief (15 minute) papers on their own work are asked to submit a title plus an abstract of up to 350 words by Monday 1 April 2019. Submissions from doctoral students and early career researchers are particularly welcome, and should be sent to CCHMwo...@gmail.com Notification of acceptance will be made by Friday 12 April 2019.
Deadline for registration
Attendance at the workshop is free, but will be limited to 40 participants plus speakers. Registration requests should be sent to CCHMwo...@gmail.com by 19 April 2019 latest.
This workshop is supported by the UCL, Bloomsbury and East London/Grand Union Doctoral Training Partnerships, the Department of Computer Science, University of Oxford, and John Templeton Foundation, Quantum Causal Structures.