We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...
Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...
The Intelligent Decentralised Energy-Aware Systems (iDEaS) project at the University of Southampton (see www.ideasproject.info) is developing and demonstrating the application of ...
Perukrishnen Vytelingum, Thomas Voice, Sarvapali D...
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...