Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
As the complexity of computing systems steadily increases, self-managing systems – as Autonomic Computing Systems (ACS) proposed by IBM – are an adequate approach to minimize ...
Observation is becoming a crucial issue in the engineering of today's systems: the common practice for dealing with their complexity is to encapsulate their subcomponents abs...
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...