Introduction

This article introduces the analytical essays of The Linear Learner with my understanding of noesis as depicted in figure below.

Meaning of noesis :

Noesis is the state of knowledge bore by a mind about learning how a process works, followed by reasoning why it occurred and finally perceiving what it is actually. Thus noesis (N) is not a property of mind, but a mental status where –

  • Learning (L) is gathering of information about a process.
  • Reasoning (R) is factoring the concerned process.
  • Perceiving (P) is aligning the mind with the process.

In other words, noesis is also the impact of thinking about a process where learning is aided by memory i.e. right hemisphere of brain, reasoning is acted by intelligence i.e. left hemisphere of brain and perceiving is the aim of intuition perhaps by frontal lobe of brain.

N = N(L,R,P)

Model of noesis :

As we know, for professional/practical purposes, continuous learning of technology is an endless journey whereas complete reasoning of use cases requires 360 degree analysis of all factors. Therefore figuratively, a practical noesis is represented by infinite linear scale of learning, finite angular scale of reasoning and a third basis of perceiving that can be either finite or infinite.

Note : On the other hand, for academic/research purposes, learning being marked complete by exit test of training, is denoted by finite angular scale whereas reasoning being consistent cannot be complete, provisioning for research and adopts a linear scale.

Measure of noesis :

Analogous to two extremities as axon of a neuron, the growth of noesis from its past to present state can be measured by change in the knowledge density, KD.

KD = Knowledge รท Capacity

Since capacity of one’s mind can vary for different individuals, let us use cognitive sparsity, CS which is a normalized measure of density of knowledge at the given state of noesis, starting from 1 and approaching towards 0.

CS = KD(initial) รท KD(present)

A zero value of CS implies understanding of theory of everything, where KD(initial) != 0.

What is linear learning ?

In contrast to discrete learning, the linear learning refers to a gradual decrease in cognitive sparsity of noesis with uniform focus at every step of learning. Contrasts of linear learning are like –

  • learning a topic by googling instead of proper curriculum.
  • reasoning through gossips instead of validating the rumour.
  • perceiving business jargons instead of understanding the basics.

On the contrary, discrete learning is knowing chunks of information without laying the groundwork. A typical example is a student of class IV reciting definitions of class X physics without grasping its continuity. Therefore, what I intend to be, is what I call ‘the linear learner’.

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