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Algorithms to Live By: The Computer Science of Human Decisions
- Tentang
- Kutipan455
- Pembaca115
- Di rak buku
- Buku terkait
Buku ini saat ini tidak tersedia
577 halaman cetak
- Publikasi asli
- 2016
- Tahun publikasi
- 2016
Kutipan
- Gewmembuat kutipan2 tahun yang lalu
Look-Then-Leap Rule: You set a predetermined amount of time for “looking”—that is, exploring your options, gathering data—in which you categorically don’t choose anyone, no matter how impressive. After that point, you enter the “leap” phase, prepared to instantly commit to anyone who outshines the best applicant you saw in the look phase. - dina004dmembuat kutipan2 tahun yang lalu
The math shows that when there are a lot of applicants left in the pool, you should pass up even a very good applicant in the hopes of finding someone still better than that—but as your options dwindle, you should be prepared to hire anyone who’s simply better than average. It’s a familiar, if not exactly inspiring, message: in the face of slim pickings, lower your standards. It also makes clear the converse: with more fish in the sea, raise them. In both cases, crucially, the math tells you exactly by how much. - dina004dmembuat kutipan2 tahun yang laluMerrill Flood. Though he is largely unheard of outside mathematics, Flood’s influence on computer science is almost impossible to avoid. He’s credited with popularizing the traveling salesman problem (which we discuss in more detail in chapter 8), devising the prisoner’s dilemma (which we discuss in chapter 11), and even with possibly coining the term “software.”
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