Online auction sites are a target for fraud due to their anonymity, number of potential targets
and low likelihood of identification. Researchers have developed methods for identifying …

We propose a multi-agent learning approach for designing crowdsourcing contests and All-
Pay auctions. Prizes in contests incentivise contestants to expend effort on their entries, with …

The competitive construction bidding process is a highly unstructured decision-making
problem where contractors have to take several factors into consideration, weigh their …

Every day on eBay, millions of people buy and sell a vast array of goods, from rare
collectibles and antiques to used cars and celebrity memorabilia. The internet auction site is …

With the explosive growth of e-Commerce worldwide, there are also growing concerns about
collusive fraudulent transaction attacks in e-Commerce. The main contribution of our …

This paper reviews applications in computer science that decision theorists have addressed
for years, discusses the requirements posed by these applications that place great strain on …

В экономических системах руководители сталкиваются с необходимостью принятия
различных решений: стратегических, тактических, оперативных. При этом низкий …

Complex systems frequently reveal decision problems which cannot be addressed by
classical analytical or optimization methods. Markets consisting of players that interact with …

There are many studies on ABS and several frameworks for ABS have already been
published. However, there are few frameworks that can enable agent-based simulation …

The need for new theoretical and experimental approaches to understand dynamic and
heterogeneous behavior in complex economic and social systems is increasing. An …