Novamente artificial general intelligence: Design science research towards a designing / prototyping model

This is a dissertation for a design science research exploring the Novamente approach to artificial general intelligence (AGI) as a solution for designing computing architectures that can deal with unstructured data in today's business enterprises. The outcome of this research seeks to establish a model and a methodology for designing and prototyping a local Mind Operating System (OS). A local Mind OS is an operating system that will be implemented on a single hybrid intelligent personal computer (PC). A hybrid intelligent PC utilizes a hybrid computing architecture base on a weightless neural network that complements the typical Von Neumann architecture. This research starts with an initial Emulator/Translator prototype and a set of class libraries based on the literature. Through iterative refinement and reflection from experimentation the research validates and resolves answers to the research questions presented. The final outcome of this design science research is a refined Emulator/Translator model composed of Java class libraries and a Java desktop application prototype implementing proof-of-concept for a refined development/prototyping methodology. This research is a pilot to further research towards a full-blown application for designing and prototyping a local Mind OS. The future goal of the research is to answer to an implied need for rapid development tools to effect faster advancements in the field of AGI. It is from this field of AGI that computing architectures can be developed having capabilities to deal with the greater bulk of unstructured data found in business enterprises to this day.