The Fusion Process of Goal Ontologies using Intelligent Agents in Distributed Systerns

In the field of artificial intelligence, most of the distributed systems are described by services which can be composed to provide more complex ones. The potential to achieve dynamic composition of services has driven recent research efforts. To this end it is crucial to find solutions in order to automate this task. In the present paper, we propose a methodology which deals with these insufficiencies on two levels. The first level is the design. Based on teleological reasoning, each service is related to a goal which is represented by a conceptual model called an ontology. Services are described by a functional model which relies on a core reasoning process between interacting functional components of the complex system. The process is based on information flow (IF) approach, where the main idea is the fusion of goal ontologies. The second level is the implementation through multi agent systems (MAS). We propose an algorithm describing the mechanism of the dynamic fusion of services, in which the intelligent agents support the functional components of the complex system