This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
Evolutionary algorithms based on "tags" can be adapted to induce cooperation in selfish environments such as peer-to-peer systems. In this approach, nodes periodically co...
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
When it comes to building robot controllers, highlevel programming arises as a feasible alternative to planning. The task then is to verify a high-level program by finding a lega...
In this paper, we describe the Jack-in-the-Net (Ja-Net) architecture for adaptive services in a large scale, open network environment. Using biologically inspired concepts, Ja-Net...