Modelagem de ontologias utilizando a linguagem MAS-ML 2.0

Abstract

Modeling Multi-Agent Systems (MAS) requires structural and behavioral characteristics of specific elements agents’ theory to be described and modeled to give support to the development phase. Ontology is a knowledge representation technique which defines a domain from the descriptions of elements and relationships found in this domain. In this context, ontology applied to multi-agent systems defines a terminology which describes the concepts and how they relate inside an environment of the MAS, making it possible for agents, with different characteristics and properties, to understand the concepts found in the MAS domain. The conceptual framework TAO and the MAS-ML 2.0 modeling language provide the dynamic and structural aspects of entities normally found in MAS literature. However, both do not support ontology modeling. Thus, this work presents an extension to the framework TAO and the language MAS-ML 2.0 so that both provide the necessary elements (entities and relationships) to modeling ontologies.