Departmental Seminar: "Can we teach machines to think?"
Professor Chris Summerfield
Thursday, 10 March 2016, 12pm to 1pm
Lecture Theatre C, Experimental Psychology
Hosted by Professor Kia Nobre
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