Can we teach machines to think
Status: This talk is in preparation - details may change
Recent advances in machine intelligence have allowed artificial systems to achieve near-human levels of performance on tasks that involve classification of sensory information, such as object recognition. But humans can do much so more – we can think and act creatively, make detailed plans for an uncertain future, and engage in the reasoning about cause and effect that underlies progress in science and technology. I will address the question of how we might build machines that display this level of intelligent behaviour. I will argue that building machine architectures that incorporate concepts from cognitive psychology and neuroscience – including hierarchially ordered sensory systems, attention, working memory, episodic memory, and mental simulation – may be key to achieving this goal. I will offer examples from prominent recent advances in machine learning and AI. Finally, I will discuss the promise and pitfalls of this research for human progress in the 21st century.
Date: 10 March 2016, 12:00 (Thursday, 8th week, Hilary 2016)
Venue: Tinbergen Building, South Parks Road OX1 3PS
Venue Details: Experimental Psychology, Lecture Theatre C
Speakers: Speaker to be announced
Organising department: Department of Experimental Psychology
Organiser contact email address:
Host: Professor Kia Nobre (University of Oxford)
Part of: Experimental Psychology Departmental Seminar Series
Booking required?: Not required
Audience: Members of the University only
Editor: Charlotte Thompson-Grant