|Title||Groups of diverse problem solvers can outperform groups of high-ability problem solvers.|
|Publication Type||Journal Article|
|Year of Publication||2004|
|Authors||Hong, L, Page, SE|
|Journal||Proc Natl Acad Sci U S A|
|Date Published||2004 Nov 16|
|Keywords||cognition, decision-making, social dynamics|
We introduce a general framework for modeling functionally diverse problem-solving agents. In this framework, problem-solving agents possess representations of problems and algorithms that they use to locate solutions. We use this framework to establish a result relevant to group composition. We find that when selecting a problem-solving team from a diverse population of intelligent agents, a team of randomly selected agents outperforms a team comprised of the best-performing agents. This result relies on the intuition that, as the initial pool of problem solvers becomes large, the best-performing agents necessarily become similar in the space of problem solvers. Their relatively greater ability is more than offset by their lack of problem-solving diversity.
|Alternate Journal||Proc. Natl. Acad. Sci. U.S.A.|
Groups of diverse problem solvers can outperform groups of high-ability problem solvers.
For years, I've worked on their bones. Now I'm working on their genes. Read more about the science studying these ancient people.
From a finger bone of an ancient human came the record of a completely unexpected population. My lab is working on the science of the Denisova genome.
The advent of agriculture caused natural selection to speed up greatly in humans. We're uncovering some of the ways that populations have rapidly changed during the last 10,000 years.