In the strategyproof classification setting, a set of labeled examples is partitioned among multiple agents. Given the reported labels, an optimal classification mechanism returns...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Abstract. Distributed cooperative applications (e.g., e-commerce) are now increasingly being designed as a set of autonomous entities, named agents, which interact and coordinate (...
Commitments provide a flexible means for specifying the business relationships among autonomous and heterogeneous agents, and lead to a natural way of enacting such relationships...
RFID are used to identify products in factory automation applications; Multi agent systems are a possibility to introduce flexibility into production processes. This article intro...