Abstract
We describe innovation in terms of a generalized branching process. Each new invention pairs with any existing one to produce a number of offspring, which is Poisson distributed with mean p. Existing inventions die with probability p/τ at each generation. In contrast with mean field results, no phase transition occurs; the chance for survival is finite for all p>0. For τ=∞, surviving processes exhibit a bottleneck before exploding superexponentially-a growth consistent with a law of accelerating returns. This behavior persists for finite τ. We analyze, in detail, the asymptotic behavior as p→0.
Original language | English |
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Journal | Physical Review Letters |
Volume | 105 |
Issue number | 17 |
Pages (from-to) | 178701 |
Number of pages | 4 |
ISSN | 0031-9007 |
DOIs | |
Publication status | Published - 18 Oct 2010 |