Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Modern peer-to-peer file sharing systems rely heavily on the willingness of users to distribute files to others. A selfish user can choose to download a file and consume resou...
Abstract—In distributed environments, access control decisions depend on statements of multiple agents rather than only one central trusted party. However, existing policy langua...
The aggregation of conflicting preferences is a key issue in multiagent systems. Due to its universality, voting has a central role among preference aggregation mechanisms. Votin...