Diversity of preferences can increase collective welfare in sequential exploration problems
March 28, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Pantelis P. Analytis, Hrvoje Stojic, Alexandros Gelastopoulos, Mehdi MoussaΓ―d
arXiv ID
1703.10970
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MA
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In search engines, online marketplaces and other human-computer interfaces large collectives of individuals sequentially interact with numerous alternatives of varying quality. In these contexts, trial and error (exploration) is crucial for uncovering novel high-quality items or solutions, but entails a high cost for individual users. Self-interested decision makers, are often better off imitating the choices of individuals who have already incurred the costs of exploration. Although imitation makes sense at the individual level, it deprives the group of additional information that could have been gleaned by individual explorers. In this paper we show that in such problems, preference diversity can function as a welfare enhancing mechanism. It leads to a consistent increase in the quality of the consumed alternatives that outweighs the increased cost of search for the users.
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