Autognorics

 Aneural Autognorization: Creating a Living Machine!

Before we discuss how possible it is to build a living machine, let us first redefine the essential stages that come along with the criteria of life based on the study on Originemology (origin of origins). Then, let us utilize this revised knowledge of life in comparison with newborns and machines to rationalize the feasibility of making a living system. And finally, let us examine step by step the basic cycles of transformation in the realization of a living machine through autognorization. 

The science of creating engineered life forms, things, machines, or systems is called Autognorics. It was conceptualized by revisionist Lawsin in 1988 who wanted to shape up the framework of artificial intelligence and machine learning by introducing a new paradigm known as Aneural Autognorics.  IOs and EIs are the main elements in this new paragon of creating synthetic life-forms called Gnorics. 

Autognorization, otherwise known as ELFS, which stands for Engineered Life-Forms System, is the system, process, or approach by which intuitive objects, embedded inscriptions, and the inverse-reverse dimetrix are incorporated together in the creation of a living machine or system that embodies the six signatures of life, namely: the mechanization of aliveness, the sensation of awareness, the codification of consciousness, the intuitiveness of logic, the experience of living, and the aneural acknowledgment of information.

 

The individual entity or machine that is capable of knowing itself and its external environments is called Autognorics.  Gnorics is an entity synonymous with life-forms. Examples of such species are human beings that exhibit self-knowledge using the brain (neural) and the Zoikrons that display the characteristics of a self-knowledge being but without the need of the brain (aneural).

According to Lawsin, Life evolves from being alive to being living. It is a process that is governed by seven stages. He classified the sequence based on the state of being of the individual. The Seven Orders of Life or SOL:

• Alive = consumes energy without the need for neural reasoning (eat).
• Aware = sends and receives signals using sensors without the need for neural reasoning (grab).
• Conscious = match things with things without the need for neural reasoning (point/play).
• Intuitive = chooses this or that without the need for neural reasoning (trial and error).
• Inlearn  = knowledge (mama/papa)
• Living = experiences (social)
• Self = emergence

Age	Babies	Machines	Both
1-2	alive	alive	consumes energy
2-3	aware	aware	senses with sensors
3-5	conscious	conscious	matches objects
6-7	intuitive	intuitive	selects this or that
8-9	neural	aneural	informed / knowledge
10+	living	living	socialize / reproduce / live

Let us examine the revised criteria of Life in the list by comparison. 

Lawsin redefined Alive or aliveness as the ability of an organism to self-consume energy provided by an external source. An infant, when guided, gets his/her energy from his/her mother's milk, an external source. A machine, when guided, gets its energy from a charging station or a solar panel, another external source. Technically, the machine and baby are both considered alive.

Awareness, meanwhile, is redefined based on two prerequisites. First, the object is alive, and second, it is equipped with intuitive sensors. A newborn is aware because he/she consumes energy and his/her physical body is rig with common sensors like the ears, eyes, nose, and skin to name a few. However, these sensors function without the intervention of the brain at the early stage of the life of the baby. A machine is as well aware when it self-consumes energy and is automated with intuitive or wise sensors. The intuitive objects are triggered dimetrically by Inscription by Design. Here, the baby and the machine are alive and aware but not conscious, intuitive, informed, and living yet.

Consciousness, on the other, is redefined bound by three requirements, namely, aliveness, awareness, and codification. An object is conscious when it self-consumes energy, driven by sensors, and codifies things. Codification or codexation is the key factor in identifying when an object is conscious or not. Codexation is the self-ability of an organism to associate an object with another object unknowingly. In other words, a machine is conscious when it self-consumes energy, equipped with sensors, and matches objects. A baby, at a certain point in her/his early life, can stacks colorful bricks unknowingly without the help of the brain. This action shows that one can be alive, aware, and conscious even without the help of the brain. Here, the baby and the machine are alive, aware, and conscious, but not yet rational, neural, and living.

Intuitiveness or logic is redefined depending on four determinants: aliveness, awareness, consciousness, and intuitiveness. An object is logical when it self-consumes energy, driven by sensors, codifies things, and able to rational or choose. The self ability to choose is the key factor in identifying when an object is logical. This behavior is influenced by the Theory of the Second Option or the This or That Rule. The baby and the machine, in this case, are alive, aware, conscious, intuitive, but not yet aneural, and living.

ANeural is defined contingent on five benchmarks: aliveness, awareness, consciousness, intuitiveness, and aneuralness. An object is neural when it self-consumes energy, driven by sensors, codifies things, selects options, and with knowledge. The ability to use knowledge is the key mark that identifies when an object is neural. Mnimi ("Mindness") is a memory classified as neural and aneural. In this scenario, the baby and the machine are alive, aware, conscious, intuitive, and aneural (a brain without the brain).

In summary, Life is defined based on one or all the following SOL:

1. Aliveness
2. Awareness
3. Consciousness
4. Intuitiveness
5. Inlearness
6. Lifeness
7. Selfness

Autognorics is the study of engineered life forms known as ELFS. It proposes the theory of Intuitive Aneural Networks (IAN), a concept central to Lawsin's research on A Brain Without the Brain. It is part of the Brein Theory, which explores Binary Embedded Inscriptions Nodes (BREINS), Binary Inherent Network Systems (BINS), Aneural Memory Blocks (AMB), Intuitive Machines (IM), Inscription by Design (ID), and Single Theory of Everything (STOE). Lawsin discovered that IAN naturally occurs in both living and nonliving entities, often manifesting as natural laws, geometrical patterns, or structural designs. 

IAN functions as a memory network where information is inherently embedded within the structure of objects, whether figures, shapes, or forms. However, it often appears as a black box, possessing observable inputs and outputs while concealing an unseen set of embedded instructions known as Inscriptions. At its core, IAN consists of Binary Embedded Inscriptions Nodes (BREINS), forming a Binary Inherent Network Storage System (BINS). Every entity carries two fundamental inscriptions, encoded within its structure—a principle referred to as the Grand Order of Inscriptions by Design. 

Interconnecting links, known as Gnomic Synapses (GNOMI), are essential in activating stored information, allowing objects to unknowingly remember data based on these connections. These crossing points facilitate signal transmission between structures, enabling larger structures to store and recall greater amounts of information. When new structures integrate into a network, new memory packets are generated, enhancing the system’s ability to retain and recall data. However, disruptions in synaptic alignment can distort or alter stored memories, affecting the integrity of information. 

IAN operates as an aneural system composed of inscriptions structured into functional algorithms, including those for thinking, emotions and feelings, hearing, seeing, and tasting. The execution of each algorithm depends on signal reception and memory placement, much like the spatial relationships of sensory organs—eyes, ears, nose, and mouth—relative to the brain. This concept parallels biological neural networks but without the reliance on traditional neural pathways. 

Ultimately, IAN represents a linear aneural intelligence system capable of storing and processing information without neurons or a conventional brain. Functioning as a queue-based network, data is sequentially stored, accessed, and processed, revealing a unique perspective on intelligence beyond neural dependency. Examples of IAN illustrate how structured inscriptions facilitate intuitive memory processing, reinforcing its role as a system that transcends traditional models of cognition and information retention. 

"Life is chemistry, not Biology." ~ Joey Lawsin

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