WEBVTT

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In this lesson, we'll make a little
digression.

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We have seen so far that there is no
single definition of smart

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city, except for the relatively general
idea of using

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digital technology to solve urban
problems.

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In the cognitive sciences, it's a bit
different.

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Intelligence is well studied here, from
the individual

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intelligence of individual people to
artificial intelligence

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in technical systems to the collective
intelligence of groups and organizations.

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Let's take a look at this research to
understand what it means for smart

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cities.

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At the end of the 20th century,

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In the nineteenth century, leading
researchers have

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published a common definition of
intelligence is

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the ability to think, plan, solve
problems, and learn from experience.

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An intelligent being recognizes essential
aspects of its environment and acts

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accordingly.

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If we understand a city as an organism,
this means that

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a smart city is a city that can solve its
problems well collectively.

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Imagine the following: You would be mayor
of

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all the city, but all the information is
scattered in many heads.

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Sensors and also files.

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No central authority tells you what's
right.

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Your task?

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Make decisions for the future of your
city.

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How would you manage to ensure that all
this information

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still flows together so that the city
acts wisely?

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This is actually the basic problem of
intelligence.

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It is a distributed processing of
information in networks.

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Our brain is such a network.

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It consists of billions of nerve cells
that are connected to each other and

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exchange information.

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Artificial intelligence mimics this
principle

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by simulating neural networks.

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And groups of people also function in a
similar way.

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Teams that share a lot of information
openly tend to achieve

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better results than those that
communicate little.

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Exactly this pattern can also be
transferred to cities.

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A smart city is a network of people,
sensors, and

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computers that processes information in a
way

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that effectively solves urban problems.