A Graphics-User Interface in Support of a Cognitive Inference Architecture

The objective of this paper is to present a graphical-user-interface (GUI) in support of a decision support system (KASER) for machine understanding. In order to provide information between the user and the KASER during the learning process, the approach is to combine information science and cognitive science in the form of several virtual and physical multimedia screens (e.g., a whiteboard running a pen-based OS ensemble, a menu-driven touch-screen, or a multimedia output screen). The touch-screen will also facilitate navigation between virtual screens. An application to homeland security is provided as an example; however the approach has vast applicability to many problems in which a graphical form of learning is required. The integration between human and machine is to be seamless which allows the user to pose questions and retrieve answers through the multimedia system, thus accelerating the learning process.