Whole brain emulation (WBE) is the possible future one-to-one modelling of the function of the entire (human) brain. This would achieve software-based intelligence by copying biological intelligence (without necessarily understanding it).
WBE represents a formidable engineering and research problem, yet one that appears to have a well-defined goal and could, it would seem, be achieved by extrapolations of current technology. This is unlike many other approaches to artificial intelligence where we do not have any clear metric of how far we are from success.
This lecture will explore the feasibility of WBE, investigating what preconditions -- philosophical, scientific and technological - are necessary for various degrees of success.