Memorias de investigación
Book chapters:
Improving Diagnosis Agents with Hybrid Hypotheses Confirmation Reasoning Techniques
Year:2012

Research Areas
  • Telematics

Information
Abstract
This article proposes a (MAS) architecture for network diagnosis under uncertainty. Network diagnosis is divided into two inference processes: hypotheses generation and hypotheses confirmation. The first process is distributed among several agents based on a (MSBN), while the second one is carried out by agents using semantic reasoning. A diagnosis ontology has been defined in order to combine both reasoning processes. To drive the deliberation process, the strength of influence obtained from (CDF) method is used during diagnosis process. In order to achieve quick and reliable diagnoses, this influence is used to choose the best action to perform. This approach has been evaluated in a P2P video streaming scenario. Computational and time improvements are highlighted as conclusions.
International
Si
10.1007/978-3-642-34799-3_4
Book Edition
Book Publishing
Springer Verlag
ISBN
978-3-642-34798-6
Series
Lecture Notes in Computer Science
Book title
Multi-Agent Systems
From page
48
To page
62
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos