MAS Ontology: Ontology for Multiagent Systems
Felipe Cordeiro, Vera Maria B. Werneck, Neide Santos, Luiz Marcio Cysneiros · 2016
This work describes the Multiagent Systems (MAS) Ontology to assist in the development of multi-agent system using different methodologies. The MAS Ontology consists of fragmenting agent-oriented methodologies following an ontology approach based on the best aspects of four prominent AOSE methodologies and Guardian Angel exemplar that identify the strengths, weaknesses, commonalities and differences. In this paper, we present a brief explanation of Multiagent methodologies and the step-by-step process to describe the agent-based systems domain and how it can be represented. Given the numerous works in the literature about MAS methodologies, our aim is to help select the best and more appropriate properties to be used in Multiagent Systems development.