Intelligent Autonomous Sytems
What is Autonomy in Complex Systems?
Autonomy is the ability of a system to achieve goals while operating independently of external control, and requires: self directedness and self-sufficiency. Implementing intelligent/thinking autonomy in a complex system requires an Intelligent Autonomous Systems Architecture (IASA) that enables and integrates all autonomy functional attributes, systems engineering processes and methods.
Clarifying Autonomy
A hardwire system cannot think, contemplate, communicate, evaluate, learn, design, plan, execute, or make decisions, because it cannot perform the fluid, self-reflective dynamic logic that is required for an autonomous system. The process of generating an Idea is considered the most important and unique attribute of the mind, and as such is the first prime mover of the thought process. The Concept is the other prime mover of the thought process. It is generated by the initial
stimulation of the Idea, and indeed it is for our design purposes an extension of the Idea and often remains a mental image object.
A thinking system must be equipped with the Intellect, Understanding, and Decision Logic necessary to complete the substantiation process.
For our purposes, the Idea can originate in any of the Will, Reason, or Understanding systems, but it is up to the Thought Process (nucleus) to develop it into a Concept.
