Platform-Based Design of Augmented Cognition Systems Latosha Marshall & Colby Raley ENSE 623 December 7, 2004Table of Contents Platform-Based Design of Augmented Cognition Systems............................................................ i Table of Contents............................................................................................................................ ii Table of Figures .............................................................................................................................. ii Introduction..................................................................................................................................... 1 Augmented Cognition..................................................................................................................... 1 Platform-Based Design ................................................................................................................... 2 Platform-Based Design for Augmented Cognition Systems .......................................................... 3 System Architecture and Design..................................................................................................... 5 Requirements .................................................................................................................................. 7 General High Level Requirements ............................................................................................................................7 Design Requirements.................................................................................................................................................8 Constraint Based Requirements.................................................................................................................................9 System Verification and Validation.............................................................................................. 10 Requirements Tracing..............................................................................................................................................10 Analysis of Communication Flow ...........................................................................................................................10 Spatial Logic............................................................................................................................................................10 Temporal Logic .......................................................................................................................................................11 Conclusion .................................................................................................................................... 11 References & Further Reading...................................................................................................... 12 Table of Figures Figure 1: Augmented Cognition Enabling Technology Areas ....................................................... 2 Figure 2: System Level Augmented Cognition Architecture ......................................................... 5 Figure 3: Simplified System Level Augmented Cognition Architecture........................................ 6 Figure 4: Augmented Cognition Architecture for a Driving System.............................................. 6 Figure 5: Augmented Cognition Architecture for a Learning System............................................ 7Platform Based Design of Augmented Cognition Systems Marshall & Raley – 1 – Introduction Platform-based design principles can be used to allow faster and more efficient creation of augmented cognition systems from customer specifications. A modular design enables a higher product flexibility and reduction of development time, parallel development of system components, reduction of production time, reduced capital investment in production, reduced material and purchase costs, improved quality, easier service and upgrading, and easier administration of any system (Ericsson, 1999). Platform-based design takes that one step further, and allows systems to be fully developed, designed, validated, and verified while still at high levels of abstraction in the design process. It bridges the gap between custom-designing a new system for each platform instantiation and attempting to merely recycle system components in radically different platforms. Platform-based design is important in almost any high-technology system, but is particularly relevant to augmented cognition systems for two major reasons: • Technologies required to implement augmented cognition systems are still being developed, and will continue to improve dramatically over the coming years - for example, sensing technologies will never catch up with the knowledge of architecture design, so a system should be able to accommodate this. • Augmented cognition systems will continuously be applied to new scenarios and situations; therefore, the systems should be able to adapt to any necessary environment. This paper will discuss the migration from modular design to platform-based design in augmented cognition systems, will show the methods of validation and verification of these systems using platform-based design, and will make an argument for the use of platform-based design in all such systems. Augmented Cognition Augmented Cognition is an emerging field of research that seeks to enhance users’ abilities by developing technologies that designed to address bottlenecks, limitations, and biases in cognition. It strives to develop computational methods that address information processing bottlenecks intrinsic to human-computer interaction. The field is developing new technologies to noninvasively measure the cognitive state of humans and to use the knowledge of that state to adapt closed-loop computational systems to humans’ needs. This technology was initially investigated because of the continuing excess of information that people face every day. Not only is there too much valuable and useful information than can reasonably be digested, there is also an ever-growing expanse of information that is useless either because of its nature or because of who gets the information and when they get it. The AugCog program will dramatically increase the ratio of good information to “bad” information and will enable end users to do better and more complete work, faster. The design