There is a particular set of problems that all people face that are a direct result of the fact that our lives are carried out in finite space and time. What should we do? What should we ignore? What should we do today? What should be leave til next week? What degree of mess should we embrace? What balance between NEW experiences and FAVOURED ones make for the most fulfilling life?
These might sound like very HUMAN problems... but they're not. For more than half a century, computer scientists have been grappling with (and in many cases, solving) the equivalent of these everyday dilemmas. How should a processor allocate "attention"/focus to perform every task a user asks of it, with the minimum energy expenditure in the shortest possible time? When should it switch between different tasks, and how many tasks should it take on at once? Should it collect more data, or take action based on the data it already has?
In this episode, we’ll look at three applications of computer science to the real world:
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