Innovative Glass-Box Approach: A Better Way to Enhance Learning of Complex Dynamic Systems

Due to increasing demand for simulation and modeling, efforts are needed to build up more powerful simulation and modeling methodologies that can help to facilitate learning complex dynamic systems.By learning we mean the acquisition of knowledge, skills and experience for better and faster learning of the various types of complex dynamic systems.System dynamics is one of the successful well formulated methodologies that provides a perfect framework for building highly interactive learning environments where learners involve in reasoning about the relationships between the structure and the dynamics of a complex system.In this paper, we address two recent well known approaches (Black-Box and Glass-Box) that enhance learning capabilities in a typical complex dynamic system and demonstrate the overall learning effectiveness by using their own methodologies.Furthermore, we present a critical comparison of traditional black-box approach and the innovative glass-box approach.In addition, we also present two experiments that are associated with the black-box approach.Engineering from Old Dominion University in 2001 and 2005 respectively.In the past, he has done research on bioinformatics projects where he investigated the use of Linux based cluster search engines for finding the desired proteins in input and outputs sequences from multiple databases.For last one year, his research focused primarily on the modeling and simulation of wide range parallel/distributed systems and the web based training applications.Syed Rizvi is the author of 15 scholarly publications in various areas.His current research focuses on the design, implementation and comparisons of algorithms in the areas of multiuser communications, multipath signals detection, multi-access interference estimation, computational complexity and combinatorial optimization of multiuser receivers, peer-to-peer networking, and reconfigurable coprocessor and FPGA based architectures.