External regret compares the performance of an online algorithm, selecting among N actions, to the performance of the best of those actions in hindsight. Internal regret compares ...
This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
Consider the following game between a worm and an alert3 over a network of n nodes. Initially, no nodes are infected or alerted and each node in the network is a special detector n...
As a software system evolves to accommodate new features and repair bugs, changes are needed. Software components are interdependent, changes made to one component can require cha...