Many such groups can be viewed as unique entities that possesses information, goals, and attitudes that help define them but which are not necessarily the same as those of their constituent members. A business, an army, a musical band, a nation. Communism- I'm not sure exactly, but it's still a different way of choosing how resources get allocated, and how it is decided. Communitarianism (?) is about making choices by community agreement- I've been told that Quakers decide by unanimous voice. Fascism is about making decision by hierarchy. Libertarianism is about making choices by market. Democracy is about making choices by ballot. The thought I had when reading was that the difference between political systems isn't fundamentally about different goals, it's about different choice-making architectures. I did like his point that building an AI is like building an intelligent community, only moreso because the individual units are so dumb. The writing could have been quite a bit denser and I would have been okay with it, even though this isn't really my field. Also, the data that shows that the intelligence of the group depends on the social perceptiveness of the group (and because of strong correlation, the number of women in the group) is sketchy: it looks like random noise with a trend-line drawn through it to me. I have issues with how they did it, though- instead of using an established intelligence test, they made up their own tests, which seems like it would be less useful information. The author was the first to try to measure the intelligence quotient of a group. This brings together a lot of threads about how groups of people can work together to solve problems. By understanding how these collectively intelligent groups work, we can learn how to harness their genius to achieve our human goals.ĭrawing on cutting-edge science and insights from a remarkable range of disciplines, Superminds articulates a bold - and utterly fascinating - picture of the future that will change the ways you work and live, both with other people and with computers. Together, these changes will have far-reaching implications for everything from the way we buy groceries and plan business strategies to how we respond to climate change, and even for democracy itself. And although it will probably happen more gradually than many people expect, artificially intelligent computers will amplify the power of these superminds by doing increasingly complex kinds of thinking. Using dozens of striking examples and case studies, Malone shows how computers can help create more intelligent superminds simply by connecting humans to one another in a variety of rich, new ways. And these collectively intelligent human groups are about to get much smarter. In this groundbreaking book, Thomas Malone, the founding director of the MIT Center for Collective Intelligence, shows how groups of people working together in superminds - like hierarchies, markets, democracies, and communities - have been responsible for almost all human achievements in business, government, science, and beyond. But there's another kind of entity that can be far smarter: groups of people. If you're like most people, you probably believe that humans are the most intelligent animals on our planet. From the founding director of the MIT Center for Collective Intelligence comes a fascinating look at the remarkable capacity for intelligence exhibited by groups of people and computers working together.
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