Natural and artificial knowledge-processors, like humans and systems, constitute the central resources of the knowledge processing model. They are resources that process other resources.

To effectively process knowledge, let's say at human level, or so, Knowledge processors require a set of basic tools that include:

• Knowledge Background
  The knowledge background is the collection of all the inherited and acquired knowledge of a knowledge processor.


• Stream Processing
  Each knowledge processor needs to process its knowledge-background through its knowledge metabolism, as well as input and output streams in its interaction with its "outside" world or reality: the two interaction stream process types:


• Metabolic Processing
  Each knowledge processor is required to constantly improve and evolve its knowledge background through continuous internal streams and processes, analysing, evaluating, integrating, correlating, optimizing to better evolve its knowledge.


• Sensory Input Streams
  Each knowledge processor is required through various interfaces, to acquire, filter, adapt, convert incoming information streams so that the knowledge processor can infer corresponding knowledge resource streams, for processing and integrating into the knowledge background, as required.


• Output Motor Streams
  Each knowledge processor is required to create models from selected knowledge-background resources, in order to project aspects of these models, selected from viewpoints or angles, through different perspectives, through various interfaces, into information streams, artifacts and behaviors.


• Reflex Zone
  As a specialized part of its knowledge metabolim, each knowledge processor is required to manage its reflex, habit and automation zone or platform, including design, conditioning, triggers and integration.