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Can We Teach Machines to Think?
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
Venue:
Tinbergen Building, South Parks Road OX1 3PS
Venue Details:
Lecture Theatre C
Speaker:
Professor Christopher Summerfield (University of Oxford)
Organising department:
Department of Experimental Psychology
Host:
Professor Kia Nobre (University of Oxford)
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Janice Young
