Data, knowledge, and common sense reasoning
We explore the use of pari-mutuel markets in a peer-to-peer setting to generate a wide diversity of content offerings while responding adaptively to customer demand. Files are served and paid for through a parimutuel market similar to that used for betting in horse races and in lotteries. Our simulations are based on rational agents, which all act according to a set of simple rules. The results show that a favorite-longshot bias occurs, where agents tend to bet on longshots rather than favorites when following simple expected utility maximization. Furthermore, we have confirmed that the long-tail does sustain even when the agents only have a limited view of all files to pick from. If the limited view consists of random subsets of all files, the long tail is enhanced. If the limited view consists of the top most popular items, the long tail slightly decreases. We have also explored the effect of bounded rationality. Our results show that the system is robust in presence of a large fraction of providers that have bounded rationality. If the providers with bounded rationality pick random items, the long tail is enhanced. Conversely, if the providers with bounded rationality only pick their favorite, the long tail slightly decreases.
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.