In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Mobile agent systems provide new perspectives for distributed e-commerce applications. Sea-of-Data (SoD) applications are those that need to process huge quantities of distributed...
Guillermo Navarro, Joan Borrell, Jose A. Ortega-Ru...
This paper presents the Agent MOdeling LAnguage (AMOLA). This language provides the syntax and semantics for creating models of multi-agent systems covering the analysis and design...
For a robot, the ability to get from one place to another is one of the most basic skills. However, locomotion on legged robots is a challenging multidimensional control problem. ...
CSIRO is using wireless sensor network technology to deploy "tiny agents", working as autonomous controllers for individual pieces of electrical load/generation equipment...
Glenn Platt, Joshua Wall, Philip Valencia, John K....