News & Events

May 2014

Team Wins Best paper award at AAMAS 214

A team including Daan Bloembergen and Karl Tuyls from the Computer Science Department have won the best paper award at the "Adaptive and Learning Agents" workshop at AAMAS 2014 for their paper entitled "Trading in Markets with Noisy Information: An Evolutionary Analysis".

It is the first time this award was given, and it is sponsored by FOCAS, http://focas.eu

"In the paper we analyse the value of information in a stock market where information can be noisy and costly, using techniques from empirical game theory. Previous work has shown that the value of information follows a J-curve, where averagely informed traders perform below market average, and only insiders prevail. Here we show that both noise and cost can change this picture, in several cases leading to opposite results where insiders perform below market average, and averagely informed traders prevail. These results provide insight into the complexity of real marketplaces, and show under which conditions a broad mix of different trading strategies might be sustainable".

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