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How to combine science and engineering to solve philosophical problems

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Speaker: 
Aaron Sloman

 I first learnt about AI in 1969 when I was a lecturer in philosophy, and
soon became convinced that the best way to make progress in solving a
range of philosophical problems (e.g. in philosophy of mathematics,
philosophy of mind, philosophy of language, philosophy of science,
epistemology, philosophy of emotions, and some parts of metaphysics) was
to produce and analyse designs for successively larger working fragments
of minds. I think that project can be enhanced by using it to pose new
questions about transitions in the evolution of biological
information-processing systems. I shall try to explain these
relationships between AI, biology and philosophy and show how they can
yield major new insights, while also inspiring important (and difficult)
new research.

 

NB: During the video recording of this talk, the speaker's microphone malfunctioned (@ 00.45). The sound was continued to be recorded with a secondary room microphone, but the quality was affected, and afterwards enhanced to restore audibilty as good as possible. Our excuses for the inconvenience.

Video: 

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