Economia
Matemática
Ok, economia não é só matemática. Mas o que você precisa saber de matemática não é pouco, certo? Certo.
Quer ter sucesso como economista? Então uma parte de seu tempo será com a matemática. Siga a sugestão de um gigante da Macroeconomia: Thomas Sargent.
E já que meu irmão quer falar de inteligência artificial (o outro Leo, nos comentários a um post de outro dia), aí vai um trecho de uma entrevista com Sargent, em 1989:
Region: What are you working on personally these days?
Sargent: A couple of things. I'm working on artificial intelligence, taking some models of macroeconomics and instead of saying that people are rational, we assume that they're artificially intelligent. I'm doing this with some colleagues, Ramon Marimon and Ellen McGrattan. What we've done is gone to the literature on artificial intelligence. We met a man named John Holland who is a distinguished computer scientist at the University of Michigan. He's developed models of the way people learn from the environment. So people start out not being rational, not understanding how the world works. They start out being very stupid. One of the hardest problems in artificial intelligence is to figure out how to make computers learn. People seem to learn much faster than computers can and much better. Holland has, from our point of view, discovered some of the most exciting algorithms for creating computer programs that will learn. Instead of assuming rationality, we endow our people with these little computer programs and then see what happens. And what's happened in a lot of situations is that they end up learning and being rational.
- Inteligência Artifical
The AI Revolution: The Road to Superintelligence By Tim Urban Note: The reason this post took three weeks to finish is that as I dug into research on Artificial Intelligence, I could not believe what I was reading. It hit me...
- Pobreza E Riqueza Na Perspectiva Histórica
Why Does 1% of History Have 99% of the Wealth? Throughout the history of the world, the average person on earth has been extremely poor: subsisting on the modern equivalent of $3 per day. This was true until 1800, at which point average wages—and...
- 21 Citações De Henry Ford
There is one rule for the industrialist and that is: make the best quality goods possible at the lowest cost possible, paying the highest wages possible. Coming together is a beginning; keeping together is progress; working together is success. Don’t...
- 10 Características Para Ter Sucesso
The 10 Skills That Will Get You Hired In 2013 By Meghan Casserly | Forbes Here, the 10 most critical job skills to parlay in your job search for 2013: No. 1 Critical Thinking (found in 9 out of the 10 most in-demand jobs) Using logic and reasoning...
- Notícias Sobre Xadrez
- Selva Brasilis aparentemente não gosta de xadrez, mas a referência ao artigo do Kasparov sobre computadores, no NYT, é boa. - O impacto de computação sobre a performance de jogadores profissionais vem à tona com este artigo da Veja, sobre Magnus...
Economia
Matemática
Ok, economia não é só matemática. Mas o que você precisa saber de matemática não é pouco, certo? Certo.
Quer ter sucesso como economista? Então uma parte de seu tempo será com a matemática. Siga a sugestão de um gigante da Macroeconomia: Thomas Sargent.
E já que meu irmão quer falar de inteligência artificial (o outro Leo, nos comentários a um post de outro dia), aí vai um trecho de uma entrevista com Sargent, em 1989:
Region: What are you working on personally these days?
Sargent: A couple of things. I'm working on artificial intelligence, taking some models of macroeconomics and instead of saying that people are rational, we assume that they're artificially intelligent. I'm doing this with some colleagues, Ramon Marimon and Ellen McGrattan. What we've done is gone to the literature on artificial intelligence. We met a man named John Holland who is a distinguished computer scientist at the University of Michigan. He's developed models of the way people learn from the environment. So people start out not being rational, not understanding how the world works. They start out being very stupid. One of the hardest problems in artificial intelligence is to figure out how to make computers learn. People seem to learn much faster than computers can and much better. Holland has, from our point of view, discovered some of the most exciting algorithms for creating computer programs that will learn. Instead of assuming rationality, we endow our people with these little computer programs and then see what happens. And what's happened in a lot of situations is that they end up learning and being rational.
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- Inteligência Artifical
The AI Revolution: The Road to Superintelligence By Tim Urban Note: The reason this post took three weeks to finish is that as I dug into research on Artificial Intelligence, I could not believe what I was reading. It hit me...
- Pobreza E Riqueza Na Perspectiva Histórica
Why Does 1% of History Have 99% of the Wealth? Throughout the history of the world, the average person on earth has been extremely poor: subsisting on the modern equivalent of $3 per day. This was true until 1800, at which point average wages—and...
- 21 Citações De Henry Ford
There is one rule for the industrialist and that is: make the best quality goods possible at the lowest cost possible, paying the highest wages possible. Coming together is a beginning; keeping together is progress; working together is success. Don’t...
- 10 Características Para Ter Sucesso
The 10 Skills That Will Get You Hired In 2013 By Meghan Casserly | Forbes Here, the 10 most critical job skills to parlay in your job search for 2013: No. 1 Critical Thinking (found in 9 out of the 10 most in-demand jobs) Using logic and reasoning...
- Notícias Sobre Xadrez
- Selva Brasilis aparentemente não gosta de xadrez, mas a referência ao artigo do Kasparov sobre computadores, no NYT, é boa. - O impacto de computação sobre a performance de jogadores profissionais vem à tona com este artigo da Veja, sobre Magnus...