Learning Systems Engineering

Abstract

This chapter presents a project proposal, which defines future work in engineering the learning systems. This proposal outlines a number of directions in the fields of systems engineering, machine learning, knowledge engineering, and profile theory, that lead to the development of formal methods for the modeling and engineering of learning systems. This chapter describes a framework for formalisation and engineering the cognitive processes, which is based on applications of computational methods. The proposed work studies cognitive processes, and considers a cognitive system as a multi-agents system of human-cognitive agents. It is important to note that this framework can be applied to different types of learning systems, and there are various techniques from different theories (e.g., system theory, quantum theory, neural networks) can be used for the description of cognitive systems, which in turn can be represented by different types of cognitive agents.

System of systems engineering governance framework for digital transformation: A case study of an Australian large government agency

“…The first constituent system, is the cognitive system, also referred to as an individual mental system, consists of multiple interrelated assumptions, beliefs, ideas, and knowledge. 42 This system consists of an individual's worldviews and determines how individuals act, think and filter information and cues from the outside world. The cognitive system influences the beliefs and attitudes of the staff and clients affected by the transformation, along with their willingness to adapt to change.…”