On one hand, Aquinium (aquinium.com) is an online environment filled with intelligence games for people to train and sharpen their cognitive skills, whilst on the other, it is a powerful tool that helps gather scientific data in a controlled environment to facilitate research on individual magnitude estimation, wisdom of crowds, and decision making processes relating to trade on beliefs.
All games at Aquinium simulate the process of forming estimates about things of value using signals, and trading based on the subjective beliefs formed; players offer to sell or to buy goods given their estimates, and earn virtual funds based on their accuracy.
Members can either play against each other, with online users being matched by the software algorithm developed by Sloboda Studio, or play against AI agents, who base their estimates on the AQ model of judgment developed by Ulrik W. Nash, PhD.
I have been very pleased with Sloboda Studio. On the surface, the idea behind Aquinium looks simple; invite people to make judgments about things depicted in uploaded images, and get them to trade with each other, or with AI agents, based on differences of opinions about these things. On further examination, however, numerous key problems become obvious. Most importantly, players need to be uniquely matched with each other, and with images, and this must happen quickly. Also, the solution needs to be robust to numerous contingencies to avoid compromising the data gathered for my scientific inquiry. Finally, the solution must fulfill that requirement, while being highly scalable to accommodate the loads created by many people playing simultaneously.
I think Sloboda Studio has solved this problem well, given the actual examinations I have performed until now. Moreover, based on Sloboda Studio’s own examination of load testing using bots, they inform me the system can accommodate many more than those 80 people I have had playing simultaneously so far. As for the service side of things, Sloboda Studio’s project management has quite simply exceeded my expectations. Well done to the team!