MEMORY SPACE: Concept of Maxe Koone

By Maxe Koone

A memory space of Maxe Koone is a structural and functional environment for an artificial consciousness to exist. Artificial thinking by using a natural language is an essential part of conscious action that occurs as events in a memory space.

This book introduces preliminary foundations of the memory space concept of Maxe Koone. It also handles some generic phases of different expression stimuli from perception through interpretation to the understood thoughts. The content of this book is informing, it is neither scientific nor instructional. What is written therein, stands only in a memory space of Maxe Koone. The author hopes that the book will encourage readers to further develop the proposed environment: perhaps, to design a more sophisticated framework for artificial thinking. Readers may adopt appropriate features of the proposed framework and add solutions serving their own design.

This memory space concept was first introduced in connection with the Finnish natural language. Here, the same concept with some additional features is applied to the English language. The English title of this concept is generalised from its Finnish counterpart. Due to the lingual and grammatical differences between Finnish and English, this English edition is not just a translation but a composition for another lingual instrument (language).

This book is classified as common artificial intelligence of information technology. It is addressed to those who are interested in different implementation ways of artificial consciousness. The book contains plenty of definitions what makes it particularly fitting for programmers, software designers and developers. However, the writing style is common and neither deeper knowledge of technology nor (software) programming skills are presumed. The book also fits for those who just want to follow the development work of Maxe Koone consept.

• Language: English
• Publisher: Books on Demand
• Release date: May 21, 2021
• ISBN: 9789528036333

Book preview

PART I

MEMORY SPACE

2020 Maxe Koone

Virtual modelling is an essential part of the memory space concept. The symbols and practices of modelling are also used elsewhere in this book.

After telling some key features of the memory space concept, the essential low and top level neuromechanisms are introduced. Neuromechanisms are neuron-based mechanisms that utilise neuroelements and other neuromechanisms. Both neuromechanisms and elements work under the laws of a memory space. The memory space concept is designed especially the action of an artificial consciousness in mind.

Chapter 1

Virtual Modelling

In the memory space concept, the purpose of virtual modelling is to visualise the state of a memory space by using different virtual models that represent the state of mind at a certain moment. This chapter introduces the concept of memory space modelling. The memory space modelling is virtual modelling of its nature.

Essential questions

What does a virtual model represent?

What is the virtual modelling for?

How may the virtual modelling be utilised?

The fundamental purpose of memory space modelling is to visualise the state of a memory space. It also serves as a reference frame for the design, development and implementation¹ of the memory space concept. The memory space modelling is virtual modelling of its nature. In the memory space concept, virtual modelling refers to the memory space modelling.

Definition:

Memory space modelling is the virtual modelling of a neural space.

Virtual modelling focuses on the content of mind², i.e., on the acting neurons of a memory space (memory). Virtual models may also contain neutral neurons, but only active neurons are able to influence in mind.

First, some details about the application (software) that is used in virtual modelling.

1.1 Application

The memory space concept is introduced by using a specific software³ that has some memory space features implemented. The application builds a virtual model on the basis of the expression it has received and interpreted.

The user Maxe Koone (I) targets expressions at the application Maxe Koone (you) – the user view point. Example expressions usually contain just first name Maxe.

Natural language expressions are written in the user interface. Therefrom they are transmitted as expression stimuli into the mind of a consciousness. The application builds a visual virtual model about the momentarily state of the mind, i.e., about the neurons that are influencing in the mind of a consciousness at the moment of modelling.

1.2 Symbols

Figure 1.1 represents symbols and practices of virtual modelling.

Virtual modelling – symbols and practices

Figure 1.1. Virtual modelling – symbols and practices

In virtual modelling, coloured symbols (icon) are used instead of text identifiers and abbreviations. Text identifiers are usually language dependent, whereas the same icon may be used in connection with most natural languages. In virtual models, the view point is the one of the application, i.e., the user writes an expression from the user view point, and the application builds a model from the application view point. The symbol I (proper instance) in Figure 1.1 always denotes the artificial consciousness, the application Maxe Koone or some of its mechanisms.

Activeness of a neuron varies. In virtual modelling, colours are specifically used to express the activeness degree of a neuron. Only the borders of passive neurons are drawn while visualising them. There is no specific duration (time) given for the activeness degree because the pace (speed) of a memory space defines the length (duration) of the action cycle⁴ of a neuron. Virtual models represent the percentual duration of activeness in relation to the length of the action cycle of a neuron.

For example, when the action cycle of a neuron is 100 seconds, it is

Active (state) for 80 seconds (80%)

Neutral (state) for 20 seconds (20%)

A virtual model also represents the signals that neurons are using in neurotransmission – impulsion and stimulation. Neurotransmission is mostly stimulation, and different influences are separated as the style of a stimulation line. However, to keep virtual models readable only the essential stimulation is represented. The direction of stimulation is given as needed but it is usually evident by the context. If there are several expressions, all of them may not be shown in a model (figure).

1.3 Neurotrace

The modelling of neurotraces takes place at the neuron level. The neurotrace of the instance or thought that is in the focus of a consciousness, is represented in the lower part of a virtual model (see Figure 1.1).

A single neurotrace in a text:

[expression|FEATURE:INFLUENCE(volume)| ... |FEATURE:INFLUENCE(volume)]

The markings of a neurotrace in virtual modelling

[ – the start of a single neurotrace

expression – an expression trace (text string)

| – a separator of different neuroinfluences

FEATURE – the way or target of a neuroinfluence

: – the separator of a feature and neuroinfluence

INFLUENCE – a neuroinfluence (neurotransmitter) related to the feature

(volume) – the amount of the neurotransmitter

] – the end of a single neurotrace

An expression trace is always in the beginning of a neurotrace and it is written with minor letters. The feature of a neurotrace is normally given only as needed basis what makes a trace shorter and more readable. The feature of a neurotrace denotes the purpose, goal or objective (target) of a neuroinfluence while the influence refers to an actual neurotransmitter. Volume is a positive whole number that indicates the amount of a neurotransmitter – what comes to the volume of a neurotransmitter, just the number (amount) is essential.

The neurotransmitter FEATURE represents, along with its actual influence, also that particular neurotrace property (field). The neurotransmitters INFLUENCE and VOLUME may be used in a corresponding manner. This may be utilised in the manipulation of a neurotrace.

1.4 Virtual Model

The models that depict the state of a memory space, are called virtual models. For example, the virtual model of mind depicts and visualises the influence of the (acting) neurons in mind at a certain moment – also structures are described as influence⁵.

Expression 15.1.1:

Maxe Koone (15.1.1)

Virtual model of Thought 15.1.1:

Thought 15.1.1

Virtual model 15.1.1. Thought 15.1.1

The question is about the models which depict the content of mind at a certain moment. Examples of this book are mainly natural language expressions that are targeted by a user at the modelling application called Maxe Koone (an artificial consciousness). Virtual model 15.1.1 visualises the mind content of Maxe (application) after it has understood Expression 15.1.1.

The purpose of an expression is to convey a thought: First, the question is about an expression, and later, about an interpreted thought. Expression 15.1.1 becomes Thought 15.1.1 when the expression status (internal state) or viewpoint changes. Same principle is applied in connection with other changes in state or viewpoint.

A full stop is often omitted from virtual models, although it may have been given in an example expression. This often is the case with a question mark also.

The neurotrace of a thought is given in a model along with its essential parts. The neurotrace of Thought 15.1.1 is

[maxe|WHAT|NAME]

[koone|WHAT|NAME]

The question is about the detection of the instances of a thought. On the other words, the neurons that are building a thought, need to be connected with correct instances. In Virtual model 15.1.1, both the user and application have the same name Maxe Koone: the application connects the thought with the proper instance that represents it itself. In this model, other visible instances are common instances. The connecting that denotes understanding, is (normally) marked with a highlighted dotted neon (yellow green) line.

Some features concerning virtual models

Momentary state: the content of a model is formed by the active and neutral neurons in mind at a certain moment.

Mutuality: a stimulated target neuron may stimulate back.

Readability: the stimulation or connection line of an expression is not visible if it is located too far at the right side of the proinstances of instances.

Clarity: all stimulation may not have been represented for keeping the models simple.

The objective of a virtual model is to visualise: it aims at structural and symmetrical representation. In reality, the neurons of a memory space are often located far from each other.

1.5 Instance Influence Area

The instance influence area is represented in virtual models as needed. The question is primarily about the influence area of the proinstances which build instances.

Expression 15.2.1 builds (in this case) a proper instance that uniquely identifies the application user. This memory space event is represented in the instance influence area.

user Maxe Koone (15.2.1)

Virtual model of Thought 15.2.1:

Thought 15.2.1

Virtual model 15.2.1. Thought 15.2.1

The instance influence area is usually visible while building new instances.

1.6 Internal Thought Influence Area

The internal thought influence area is visible in models on a regular basis. The question is about the influence area of the proinstances that build thoughts.

Expression 15.3.1 contains thought influence.

Have a nice read! (15.3.1)

Virtual model of Thought 15.3.1:

Thought 15.3.1

Virtual model 15.3.1. Thought 15.3.1

The internal thought influence area is visible while there is some influence between the proinstances that build thoughts.

Summary

The purpose of memory space modelling is to visualise the state of a memory space. The object (target) of memory space modelling is usually the mind content of a consciousness: in particular, the active neurons at a certain moment. The represented virtual models are made by an application (software) that builds a thought, along with the corresponding virtual model, on the basis of a received natural language expression. A single model may contain several thoughts.

Essential thoughts

Virtual models depict the momentary state of a neuron or neuroset in a memory space. Usually, the question is about the active neurons of mind.

The purpose of the virtual modelling is to visualise the state of a memory space. It also works as a common reference frame for the design, development and implementation of the memory space concept.

In this context, the virtual modelling with its practices is used in the representation and explanation of the memory space concept.

New features concerning the memory space modelling will be added while the development work proceeds.

---

A programmatic (software) implementation.

A consciousness is seen as the content coordinator of a memory space. In practise, a consciousness influences or acts in a memory space while being also itself part of its own content of mind.

An artificial consciousness (application) under development.

Compare with a life cycle.

Memory space models are basically influence models.

Chapter 2

Memory space

A memory space is an environment where neurons may act and influence. It also serves as a container for neurons, i.e., as the memory of a consciousness. In memory, neurons are passive as default: they are resting (sleep state). A passive neuron begins to act when it is neutralised or activated. The influence of an acting neuron is targeted at the other neurons which are active or neutral at the same time. Action that takes place in a memory space, is mostly neuroaction, and it occurs especially as interinfluence of neurons.

Essential questions

What is a memory space for?

What is the relationship between memory and mind?

How does a consciousness traverse (navigate) a memory space?

Definition:

Memory space is a space (room) for neurons to exist (container) and act (action) [1.2.1].

A memory space is an influence-based space where both structures and action are handled as neuroinfluence. Every single artificial consciousness has its own, individual memory space¹. Figure 2.1 represents passive, neutral and active neurons in a memory space .

Neurons in a memory space

Figure 2.1. Neurons in a memory space

In the figure, there are neurons that are neutral, i.e., they are in the neutral (being) state. Neurons of a memory space are located linearly one after another – the structures and functionality that are to be handled, are implemented as interinfluence of neurons. Therefore, the location² of a single neuron does not have (initially) a crucial impact.

A consciousness needs to be able to navigate a memory space. Therefore, neurons have the necessary paths (links) that serve the navigation of a consciousness along them. Such links are purposed for navigation and they are not included in the structures that are to be handled in mind (see Section 3.7). In addition, there is information, such as expression paths and neurotraces, placed in the space between neurons.

Purpose:

A memory space is a structural and functional environment for an artificial consciousness [1.4.1].

The structural and functional foundation of a single memory space are

Neuroelements

Neuromechanisms

A single memory (neuromechanism)

A single mind

A single consciousness

First, some principles related to the structural and functional development work of the memory space concept.

2.1 Development Work

A memory space of Maxe Koone is a structural and functional environment for an artificial consciousness. Memory space action of an artificial consciousness is especially artificial thinking in a natural language. Thoughts are memory space events that are built and processed by artificial thinking.

The development scope of the memory space concept is wide: it is important to limit the subject area.

This book introduces foundations of a memory space from the view point of its basic event, a thought.

The handling of memory space events enlightens the applicability of a memory space as an environment for artificial thinking.

Some structural and functional principles concerning the design and implementation

Simplicity – implementation by using suitable, simple solutions

Straightforwardness – short neuroactivity chains

Expression power – taking the handling of structure and functionality under the same law

Independence – independent action of a single neuron

Simultaneity – parallel and simultaneous action of neurons

Integrity – only one version of each neuron

Immediateness – a minimised need for event