A Survey on Software Agent Architectures

December 2013 Vol.14 No.1 IEEE Intelligent Informatics Bulletin Abstract—An important decision when developing a software agent is the design of its internal architecture. Several models of deliberative and reactive architectures have already been proposed. However, approaches of hybrid software architectures that combine deliberative and reactive components, with the advantages of both behaviors, are still an open research topic. This paper analyzes the state of the art of software agent architectures from the basic reactive and deliberative models to more advanced ones like hybrid and learning software architectures. A case study on the design of an ontology-driven hybrid and learning software agent architecture is also described.