Extending applications using reflective assistant agents

Assistant agents are software systems that help users during activities by carrying out some task as a reaction to events in their environment. This paper proposes a software architecture that allows assistant agents to extend applications by autonomously giving users suggestions and activating useful application functionalities. The connection between applications and assistant agents is realised by means of computational reflection, which allows applications to evolve essentially without changes to their source code. The proposed approach is general in that it does not depend on a specific application nor platform. Its application is demonstrated by two examples of reflective assistant agents for a Web browser supporting data presentation and e-shopping respectively.