Date of Original Version
Electronic version of an article published as http://dx.doi.org/10.1142/S0218194007003033 © [copyright World Scientific Publishing Company] http://www.worldscinet.com/ijseke/17/1702/S0218194007003033.html
Abstract or Description
Current desktop environments provide weak support for carrying out complex user-oriented tasks. Although individual applications are becoming increasingly sophisticated and feature-rich, users must map their high-level goals to the low-level operational vocabulary of applications, and deal with a myriad of routine tasks (such as keeping up with email, keeping calendars and web sites up-to-date, etc.). An alternative vision is that of a personal cognitive assistant. Like a good secretary, such an assistant would help users accomplish their high-level goals, coordinating the use of multi-ple applications, automatically handling routine tasks, and, most importantly, adapting to the indi-vidual needs of a user over time. In this paper we describe the architecture and its implementation for a personal cognitive assistant called RADAR. Key features include (a) extensibility through the use of a plug-in agent architecture (b) transparent integration with legacy applications and data of today’s desktop environments, and (c) extensive use of learning so that the environment adapts to the individual user over time.
International Journal of Software Engineering and Knowledge Engineering, 17, 2.