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Friday, July 10, 2009 11:30 am - 11:30 am EDT (GMT -04:00)

AI seminar: Minimal sufficient explanations for factored Markov decision processes

Speaker: Omar Zia Khan

Explaining policies of Markov Decision Processes (MDPs) is complicated due to their probabilistic and sequential nature. We present a technique to explain policies for factored MDP by populating a set of domain-independent templates.

Wednesday, October 7, 2009 1:30 pm - 1:30 pm EDT (GMT -04:00)

AI seminar: Taming the complexity monster

Speaker: Holger Hoos, the University of British Columbia

We live in interesting times - as individuals, as members of various communities and organisations, and as inhabitants of planet Earth, we face many challenges, ranging from climate change to resource limitations, from market risks and uncertainties to complex diseases.

Friday, November 27, 2009 11:30 am - 11:30 am EST (GMT -05:00)

AI seminar: Imitation in artificial agents

Speaker: Chris Marriott

Humans possess many social learning mechanisms that may be unique to our species (e.g. human speech). Imitation is a social learning mechanism that ethologists believe is at least unigue to Hominidae (the great apes) if not Homo sapiens.

Monday, December 7, 2009 1:00 pm - 1:00 pm EST (GMT -05:00)

AI seminar: Summarizing speech

Speaker: Gerald Penn, University of Toronto

Speech is arguably the most basic, most natural form of communication that we engage in, so it should come as no surprise that there has been a consistent pressure to deliver spoken audio content on web pages that, in principle, can be searched through.