The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
This article investigates the intensional programming paradigm for agent communication by introducing context as a first class object in the intensional programming language Lucid...
Abstract. How can artificial or natural agents autonomously gain understanding of its own internal (sensory) state? This is an important question not just for physically embodied ...
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
A modern server system must deliver a complex set of obligations towards its users. We study the concept of roles as autonomous encapsulations of a set of promises. Using virtuali...