Divine Solution Bias/Practice

Divine solution bias is observed as: The forfeiting of intelligence of self-initiated solutions to human suffering, substantiated by the idea of God being intelligently capable of decreasing human suffering or increasing human well-being.

The initial phase into the Divine Solution Practice, is started in a behavior of praying.

Examples: I pray for world peace. I pray that my brother will not die of cancer. Each prayer consists of some kind of intention that either will or will not come to pass as a matter of coincidence.

Theoretically, the divine solution practice, is a response to insecurities or notion of powerlessness to resolve or better the condition of self or other.

This praying can become a positive reinforcement based on

1. By fulfillment - fulfillment of the initial desire in the prayer.

2. By "goodness" of the fulfillment - Ex: Obtaining a personal need vs. fulfillment of many more.

3. Social Bias - A result of social reinforcement (number of people agreeing to pray). This is what is known as conforming to collective opinion. 

This bias manifests itself as a kind of inner power, as in the "Power to do miracles" which is a result of divine solution practice.

Praying itself might be said to create miracles, or to empower the person to overrule the natural order of things. I have observed this many times, the most power-lending coming from a woman who stood in front of a tornado and commanded that god take it away. Its amazing how strongly reinforced these people can be, to thinking of divine power being greater than some of nature's largest threats.

The four year state focus plan (4sfp)

1. Focus Initiative - During the four year term of the president, every month is devoted to a single state where funds are spent to improve infrastructure and quality of life.

2. Better-to-worse clause - The plan starts with the most decrepit states and works toward the least. Since there are 50 states and only 48 months in fours year, the president works on the 2 best first, and then enters into the 4sfp. This is good, because than the monarch/representative knows what a good state is and can use it as a touchstone for similar state improvements. It is also good because the president just coming into office, will have it much easier getting adjusted, since the most advanced societies demand little federal financing.

3. 4Sfp advisory – members of the presidential committee (state representatives) that are paid to sit through all proposals of the current state in focus. A machine can sort through the mail if each state has a bar-code that is stamped on the mail, fax, or electronic mail.

After machine sorting a human adviser, grades the importance of the state's proposal for improvement. Each proposal being separate from others are not explicitly related. Each adviser can grade the proposals and then get sorted into:

1. High focus
2. Average focus
3. Below average focus
4. Trivial.

Every proposal may be altered. Advisers (heads of the departments of government : https://en.wikipedia.org/wiki/United_States_federal_executive_departments ) or the president may question and help the state alter any proposal. 4Spf is done for the president so he/she can work on those deficiencies the quickest, and foremost.

The 4spf plan, may be put into any of the other systems of survival, and in no way is by any concrete law, only dependent on neo-socialism existing. The plan is for national stabilization of well-being. The tantamount results that should be worked toward under neo-socialism, or 4spf are: Free health care, and increasing investment into medical science. Free education, and repairing or improvement of all schools. Infinite funds, for the monarch/Representative to use to improve quality of cities. Increase of free energy and money invested into it, and thereby increase in jobs.

Why can't the state government delve into the federal funds as a primary source with no inhibition?

In America there are 50 states, and thus 100 hands. Meaning that each state has a its own representatives, and in neosocialism they can invest taxes or federal funds within their own state.  Order of government finances takes a head of nation, and a congress voting committee. This stops potential misuse of funds in its tracks. Not all politicians have the citizens best interests in mind, in fact few do. That's why it is important to know your rulers can be trusted and are altruistically pragmatic. Knowing this about your democratic appointed state Representatives is key.

Any of the methodologies of neosocialism can be conjoined with any other methodologies, as long as they bring about lasting beneficial effects, that are socialistic in nature. It may, even be possible to use neosocialism as transitional method into another economic system.

The danger of the agenda of the socialists is in "survival of the most caring." This is very harmful, compared to the beneficial slogan of the capitalists, “survival of the most fit.” The socialist slogan, does not eliminate survival of the the intelligent. The idea of socialism is to make every one a usable figure within the economic system, and not to create competitions which weaken other companies, or people, dramatically so.

Neosocialism is the method of investing in or taxing for social organizations, or workers, that are working towards the survival of all people, under the equality of their nature, determined by upkeep of the health, care, and functionality of their bodies and minds.

According to goal number four the Council of Economic Advisers commissioned with assiting the president in economic matters are to devlop and recommmend to the President national economic policies to foster and promote free competitive enterprise, to avoid economic fluctuations or to diminish the effects thereof, and to maintain employment, production, and purchasing powers.

1.  https://en.wikipedia.org/wiki/Council_of_Economic_Advisers

Computational Neurology

A Partial Mathematical and Conceptual Theory

1. Neural Nodes, Connections, and Associations

In this framework, we conceptualize the brain as a system of nodes (somas) connected by dendrites and axons, forming a vast network of associations. The process of convergence and divergence is fundamental to neural activity:

• Convergence: Multiple signals from different sources combine onto a single node.
• Divergence: A single node distributes signals outward to multiple targets.

Information Flow in the Brain

Unlike conventional network models, neurons do not merely relay information passively. They store information and then distribute it either outward (efferent) or inward (afferent), depending on function and context.

• Sensory information is an input signal that the brain receives and processes.
• Imagination functions both as input and output, integrating information across different cortical areas.

For example, a mental image of a candle can trigger the verbal recall of the word "candle." This occurs through signal transmission from the visual cortex to the auditory cortex, forming a cross-modal association.

Association Strength and Frequency

The connection between sensory input and conceptual understanding depends on association frequency, which determines the strength of neural links between concepts.

Association Laws:

• Sound-Visual Association:

  $${\lambda }_S+V_i=S_{\mathrm{a}}$$

  The frequency ($\lambda_S$) of a sound occurring alongside a visual (Vi​) strengthens the sound association ($s_{Sa}$).

• Visual-Visual Association:

  $${\lambda }_{V_{\text{stimuli}}}=s_{V\mathrm{a}}$$

  The frequency of a visual input ($\lambda_{V_{\text{stimuli}}}$) determines the strength of its visual association ($s_{Va}$), linking sensory input to conceptual output.

Signal Transmission and Connectivity

Neural activity consists of both incoming (afferent) signals and outgoing (efferent) signals:

• Input signals correspond to afferent neurons, carrying sensory data toward a node.
• Output signals correspond to efferent neurons, transmitting information away from a node.

Connection Laws:

• Efferent Connections (Outputs per Node):

  $$\frac{(O<)_n}{\mu} = \xi - \zeta_n$$

  The number of outgoing signals per node depends on the available inactive efferent neuron connections ($\zeta_n$).

• Afferent Connections (Inputs per Node):

  $$\frac{(I>{)}_n}{\mu }=\alpha -{\zeta }_{\mathrm{n}}$$

  The number of incoming signals per node depends on the available inactive afferent neuron connections.

Activation Law:

• Probability of Activation:
  
  $$s(\text{stimuli} + \text{association}) = pἄ$$ The probability of a node activating depends on the stimulus strength and the association strength of the input.

---

2. Reductionism and Gestalt Integration

Neurons store and retrieve concepts in hierarchical structures, with categories functioning as central nodes. Each category can be decomposed into subcomponents, reflecting the Gestalt principle of whole-part relationships.

For example, the concept of a candle consists of:

• A candle holder
• A wax candle stick
• A wick

Each component forms a part-node, while the entire concept functions as a whole-node in the network.

Structuralism and Reduction Laws:

• Whole-Part Relationship:

  $$W=nP$$

  A whole ($W$) consists of a number ($n$) of parts ($P$).

• Connection Integration:

  $$W + (c) = nP$$
  

  The number of connections between a whole and its parts remains consistent with the part-reductionism principle.

• Properties as Descriptors:

  $$n\widehat{\rho }=P\text{ or }W$$

  A property ($\hat{\rho}$) can define either a part ($P$) or the whole ($W$).

Phenomenal Properties and Perception

Every object can be analyzed through 15 fundamental properties, forming the basis of perceptual representation:

1. Color
2. Shape
3. Velocity
4. Size/Measurement
5. State (solid/liquid/emotion)
6. Texture
7. Part-whole relationship
8. Language association
9. Aroma
10. Temperature
11. Pleasure/Pain association
12. Emotional value
13. Need/Desire relevance
14. Nutritional/Health value
15. Contextual meaning

Each property has a corresponding gate-node responsible for detecting and processing that specific type of information.

Property Reductionism:

• Total Property Description:

  $$15:15p$$

  This equation represents a complete property-based description of an object.

• Thought-Property Mapping:

  $$T=1:15p$$

  At any given moment, a thought ($T$) is focused on one of the 15 possible properties ($p$).

Hierarchical Storage and Retrieval in Neural Networks

The human brain stores and retrieves concepts in a hierarchical manner, meaning that each category acts as a central node in a network of related subcomponents. This structure follows the principles of Gestalt psychology, which asserts that perception is organized according to whole-part relationships.

At any given moment, a concept may be activated at different levels of granularity, depending on context, familiarity, and cognitive demand.

For example, the concept of a candle is stored in memory as a whole, but can also be decomposed into its parts:

1. A candle holder (support structure)
2. A wax candle stick (fuel source)
3. A wick (combustion facilitator)

Each of these subcomponents is represented as a part-node, while the entire concept of the candle functions as a whole-node in the network.

Whole-Part Structuralism and Reduction Laws

Reductionism seeks to break down complex systems into their fundamental components. However, Gestalt psychology emphasizes that the whole is greater than the sum of its parts—a principle that must be accounted for in any neural framework.

The interaction between whole-part relationships can be expressed mathematically as follows:

1. Whole-Part Relationship

$$W = nP$$

Where:

• $W$ represents the whole concept,
• $P$ represents individual parts,
• $n$ represents the number of parts contributing to the whole.

This equation indicates that each whole is composed of a discrete number of elements, but it does not imply that understanding the parts alone fully explains the whole. The interactions, emergent properties, and contextual meaning of the whole concept extend beyond mere summation.

For example, a car is made up of many components:

• Wheels
• Engine
• Chassis
• Seats

Although these parts are necessary to form the whole concept of a car, they do not function independently as a car. The interaction between these parts—how they fit together and serve a functional role—determines the emergent perception of "car-ness."

2. Connection Integration

$$W+(c)=nP$$

Where:

• $c$ represents the number of direct connections between parts,
• The right-hand side represents the total number of components contributing to the whole.

This equation suggests that the strength of a whole-node’s representation is not merely about having parts, but also about the degree to which these parts are interconnected.

For instance, in the case of the candle:

• If the wax is removed, the candle can no longer function as intended, even if the wick and holder remain.
• If the wick is missing, the candle is incomplete, but might still be recognized as a candle due to prior knowledge and Gestalt completion principles.

Thus, connection strength plays a critical role in neural representation.

3. Properties as Descriptors

$$n\widehat{\rho }=P\text{ or }W$$

Where:

• $\hat{\rho}$ represents descriptive properties (e.g., color, texture, function),
• $n$ is the number of properties assigned to a particular part ($P$) or whole ($W$).

This principle states that an object or its components can be defined by a set of unique properties, and each property acts as a descriptor within the neural network.

For example, a red apple can be broken down into:

• Color: Red
• Shape: Round
• Texture: Smooth
• Taste: Sweet/tart
• Function: Edible

Each property is assigned a neural representation, which collectively allows for object recognition, categorization, and retrieval.

---

Gestalt Perception and Neural Integration

Gestalt principles describe how the brain organizes sensory input into meaningful patterns, even when information is incomplete. These principles play a crucial role in perception, imagination, and memory retrieval.

1. Principle of Closure

• Even if a stimulus is incomplete, the brain fills in the gaps based on previous knowledge.
• Example: Seeing a partially obscured candle and still recognizing it as a candle.

2. Principle of Continuity

• The brain prefers continuous patterns over abrupt changes.
• Example: If a candle is melting and distorting, we still perceive it as the same object.

3. Principle of Similarity

• Similar items are grouped together in perception.
• Example: Different types of candles (scented, pillar, birthday candles) are categorized under a single conceptual node.

4. Principle of Figure-Ground Separation

• Objects are perceived as distinct from their background.
• Example: A candle in a dark room is easily distinguishable from its surroundings due to its light emission.

These principles explain why object recognition remains stable despite variations in input, such as changes in lighting, angle, or partial obstruction.

---

Functional Implications of Whole-Part Representation

The whole-part distinction is crucial in problem-solving, creativity, and decision-making.

1. Problem-Solving:

   • Breaking a complex problem into smaller subproblems (parts) before integrating them into a solution (whole).
   • Example: Learning to cook a meal involves mastering individual techniques (chopping, seasoning) before combining them into a complete dish.

2. Creativity:

   • Reassembling existing knowledge in new configurations (whole from new parts).
   • Example: An artist visualizing a hybrid object, like a candle fused with a sculpture.

3. Memory Recall:

   • A partial cue activates a whole memory representation through associative links.
   • Example: Seeing a wick might remind someone of a candle, even in the absence of wax.

---

Neural Efficiency and Predictive Processing

The brain optimizes cognitive resources by activating only the necessary level of detail for a given situation.

1. Global Activation (Whole-Level Processing):

   • Rapid recognition of familiar objects using minimal details.
   • Example: Seeing a flickering light and immediately recognizing it as a candle.

2. Local Activation (Part-Level Processing):

   • Detailed analysis when precision is required.
   • Example: A scientist studying the chemical composition of wax.

3. Predictive Efficiency:

   • The brain anticipates missing details based on past experience, reducing computational load.
   • Example: Recognizing a half-melted candle without needing to analyze every detail.

This model of Gestalt-structured neural networks suggests that reductionism alone is insufficient to explain cognition. The interplay of hierarchical representations, whole-part relationships, and emergent properties enables efficient categorization, recognition, and creative thought.

By combining:

• Reductionist principles (breaking objects into components),
• Gestalt principles (emphasizing holistic perception),
• Mathematical models (quantifying neural connections),

we can develop a computational neurology framework that better explains how the brain encodes, retrieves, and integrates information.

• Conscious-Threshold:
  Certain neural activations must reach a threshold frequency before becoming consciously perceived.

---

4. Neurogenesis and Learning

Principles of Neurogenesis:

• New Information & Neural Growth:
  Novel properties, parts, or functions can trigger neurogenesis (the formation of new neurons).
• Pre-existing Network Activation:
  If a newly encountered stimulus overlaps with existing neural structures, it activates pre-existing pathways rather than generating new ones.

---

5. Pain, Pleasure, and Expectation

Pain and pleasure perception follows a threshold model, where specific sensory inputs activate corresponding neural clusters.

• The higher the stimulus intensity, the greater the probability of crossing the pain/pleasure threshold.
  
  $$P(T)=f(S)$$

  Where:

  • $P(T)$ is the probability of crossing the pain/pleasure threshold.
  • $S$ is the stimulus intensity.
  • $f(S)$ is a function representing how stimulus intensity affects threshold crossing.

  A common way to represent this is using a logistic or sigmoid function, which models threshold effects in psychophysics:

  $$P(T)=\frac{1}{1+e^{-k(S-S_0)}}$$

  Where:

  • $S_0$ is the critical stimulus intensity at which the threshold is crossed 50% of the time.
  • $k$ is a sensitivity parameter that determines how rapidly the probability changes near the threshold.

  This equation reflects that as stimulus intensity $S$ increases, the probability of exceeding the threshold approaches 1 (certainty), while at very low intensities, it remains near 0.

  
  
  
• Expectation arises from repeated associations, shaping the likelihood of future predictions.

---

6. Imagination and the Interference Problem

Imagination, while crucial for abstract thinking, introduces errors in perception and recognition.

Factors Contributing to Misidentification:

1. Absence of primed neural gates (no prior exposure).
2. Lack of sensory receptors (e.g., inability to perceive ultraviolet light).
3. Limited temporal cohesion (inability to link cause and effect).
4. Unobservable properties (e.g., atomic structure).
5. Weak contrast-comparison connections (failure to distinguish differences).

By refining inhibitory processes, the brain minimizes imaginative interference, enhancing perceptual accuracy.

Factors Contributing to Misidentification

Several mechanisms contribute to errors in recognition and perception, making it difficult to distinguish imagination from reality.

1. Absence of Primed Neural Gates (No Prior Exposure)

Neural priming is the activation of pathways that facilitate recognition. If the brain has never encountered a stimulus before, it struggles to identify or interpret it accurately.

Example: Seeing an Unfamiliar Object

Imagine seeing a quantum computer for the first time. Without prior exposure to its shape, function, or context, the brain tries to associate it with familiar objects (e.g., a server rack or a high-tech appliance). This misidentification occurs because there are no primed neural gates to correctly interpret the object.

🔹 Cognitive Consequence: The brain relies on heuristics (mental shortcuts), leading to inaccurate generalizations.

🔹 Neurological Basis: The hippocampus, responsible for memory formation, is unable to cross-reference the new information with stored schemas, leading to distorted interpretation.

Real-World Implication:

• This explains why travelers in foreign cultures may misinterpret objects, customs, or symbols.
• It also accounts for why young children mislabel objects they’ve never encountered.

---

2. Lack of Sensory Receptors (Biological Limitations of Perception)

Humans perceive reality through sensory receptors, but these have biological constraints.

🔹 Example: Ultraviolet Light Perception

• Bees can see ultraviolet (UV) patterns on flowers, which guide them to nectar.
• Humans lack UV-sensitive photoreceptors, so we perceive flowers differently, missing critical visual information.

🔹 Consequences:

• The human brain compensates for missing sensory data by filling in gaps using imagination.
• This often leads to incorrect assumptions about the true nature of the world.

🔹 Neurological Basis:

• The visual cortex (V1-V5) processes sensory inputs, but gaps in sensory perception lead to extrapolated interpretations based on existing knowledge.
• This explains optical illusions, pareidolia (seeing faces in objects), and phantom limb syndrome.

Real-World Implication:

• Scientific Instrumentation: Humans rely on technology (e.g., telescopes, microscopes) to extend sensory perception, reducing errors caused by biological limitations.

---

3. Limited Temporal Cohesion (Inability to Link Cause and Effect Correctly)

Temporal cohesion refers to the brain’s ability to maintain logical time sequences for perception and memory.

🔹 Example: Déjà Vu

• Sometimes, a person experiences a situation and believes they’ve lived through it before.
• This occurs when the brain misaligns temporal signals, creating an illusion of familiarity.

🔹 Why This Happens:

• The entorhinal cortex and hippocampus synchronize temporal events.
• When synchronization fails, memories become misordered.
• This can cause false predictions (believing an event will unfold in a specific way when it won’t).

🔹 Cognitive Consequence:

• Limited temporal cohesion results in superstitions, conspiracy theories, and irrational cause-effect relationships.

Real-World Implication:

• Explains why eyewitness testimony is unreliable—memories of events are often reconstructed out of order.
• Suggests why false memories form—people imagine an event so vividly that they later believe it happened.

---

4. Unobservable Properties (Concepts Beyond Sensory Experience)

Many real-world phenomena are unobservable, requiring abstract thought to conceptualize them.

🔹 Example: Atomic Structure

• No human has ever seen an atom directly, yet we construct mental models of atoms using scientific inference.
• The imagination fills in visual details, but these may not accurately reflect reality.

🔹 Consequences:

• In the absence of direct observation, errors in conceptualization occur.
• Early models of the atom (e.g., Bohr’s planetary model) were later refined using quantum mechanics.

🔹 Neurological Basis:

• The prefrontal cortex constructs abstract models.
• The default mode network (DMN) generates hypothetical scenarios, even if they don’t align with reality.

Real-World Implication:

• Scientists must test and refine models rather than trust initial imaginative assumptions.

---

5. Weak Contrast-Comparison Connections (Failure to Distinguish Differences)

Recognition depends on contrast—the ability to distinguish one concept from another. When contrast is weak, errors occur.

🔹 Example: Identical Twins Confusion

• If two people look extremely similar, the brain struggles to differentiate them.
• This happens due to low feature contrast between their facial characteristics.

🔹 Why This Happens:

• The fusiform gyrus, responsible for face recognition, relies on subtle differences in spacing and proportion.
• When two stimuli overlap too much, differentiation fails, leading to misidentification.

🔹 Cognitive Consequence:

• This explains stereotyping—grouping individuals based on broad categories rather than specific traits.
• Also relates to false memory syndrome—mistaking one event or person for another due to similarity.

Real-World Implication:

• Security measures like biometric identification compensate for human recognition errors.

---

Refining Inhibitory Processes to Reduce Interference

The brain actively suppresses errors in perception and memory by refining inhibitory control mechanisms.

🔹 1. Neural Inhibition (Suppressing Irrelevant Information)

• The prefrontal cortex filters out imaginative distortions when focusing on factual recall.
• This prevents confabulation—filling memory gaps with false information.

🔹 2. Sensory Calibration (Comparing Perceptions to External Reality)

• When sensory data conflicts with imagination, the brain prioritizes real-world input.
• Example: Touching an object to confirm its presence when visual cues are unreliable.

🔹 3. Memory Reconsolidation (Updating Incorrect Memories)

• When new evidence contradicts a false memory, the brain modifies stored information.
• Example: Learning correct history after years of believing misinformation.

Truth, proposition, and reasoning

Causation and Consciousness
Everything happens in a series of events. A series is a conjunction of causes and effects. All reasons are causes and/or effects. We can think that A happens for reasons (pos. reasons), or A doesn't happen for reasons (neg. reasons). We can also make choices based on conscious reasons or purposes to do things, (sufficient reasons) or the lack of reasons/purposes (insufficient reasons).

We are cause and effect beings, purpose driven. Every human action, every human behavior has a reason for occurring. We find these causes or effects by asking why? If we are to have a logic that is adequate for speaking about causes and effects we need to assign a distinct question to each (cause and effect). Why is the general question and we can divide it into two questions, “what for,” (effect i.e. x happens for y) “because” (cause i.e. y comes from x)”. Sentences are time differentiated by what time order they happen in.

For: presents a reason, cause or effect ("He is gambling with his health, for he has been smoking far too long.")
So: presents a consequence ("He gambled well last night, so he smoked a cigar to celebrate.")
One can think of the reasons/purposes or lack of reasons/purposes before they make a choice.

 Intentional Reasoning

Intention starts by having a desire for something. One’s desire can become the cause of an event. We can desire “for” “to” “because” and “so as to”. The event begins with the desire. A desire can be in the positive or negative, and be used as a positive or negative reason to do something. Aversion to do x is a negative reason to do x, desire to do x is a positive reason to do x. A selection of reasons takes place when the “I” “does” x “for” y. Conscious-awareness of reasons for doing something start by asking “why?” A desire for something is not the same thing as an Intentional selection. We can select desires and reasons together to form a single intentionality.

:I desire to eat, because the food is good and I am hungry.

The above sentence lists three reasons for doing something, namely eating. We can come up with actions “to do” (x) and desire or not desire to do them (-,+). Negative reasons are the same thing as a negative desire – aversion. Positive reasons are the same thing as positive desire – attraction.

Positive reasons (I will because x) will increase the probability of the choice. Negative reasons (I won't because x) decrease the probability of the choice.



Not doing something, makes the action not occur, and doing something makes the action occur.

When desires correspond to reality, it is a positive-desire-correspondence (PDC) when desires don’t correspond to reality it’s a negative-desire correspondence (NDC). For desire to correspond to reality, for a PDC to exist, one must act to fulfill the desire’s ends. If I want to see the ocean, I must be in "seeing distance" of the ocean. If I don’t want to see the ocean and see it anyways this is an example of NDC. If I see the ocean and don’t want to see it so look away from the ocean, this is an example of PDC. PDC can exist when there is aversion to ends, as long as the ends are not wanted.

Truth

Truth is correspondence. A tree has positive existence the absence of the tree has negative existence. “Is” is positive, “isn't” is negative. There must be a connection between sentence reality and existent reality for there to be a correspondence.


P.statement & p.existence = (positive correspondence). Sense tree → “There is a tree.”
P. statement & N.existence = (negative correspondence). “There is a tree”. → sense no tree.
N. statement with a N. Existence = (positive correspondence). “There is no tree,” → no sense of tree.
A N. Statement with a positive existence = N. correspondence. “There is no tree,”à Tree sensed.


A statement of experience indicates
Position – Near the sofa
Movement/use – Drink, to Vegas.
Conjunction – B follows A.
Comparison – B is like x, x isn't like B
Relation – Mother, brother, friend, husband.
Quality – smooth, soft, color
Quantity – large, small, numbers.
Entity – Her, him, them.
Value – good, better, best.
Time – o'clock, seconds, hours, etc..
Questions about experience:
Where – position
What – entity, statement
When – time
Why – conjunction (past, present or present, future).
How – use/movement
Who – entities

Each can contain a positive or negative statement. Here is a sentence containing all the variables of experience: “Before going to work the mother is driving to the store to pick up a carton of white grade A eggs, instead of the brown eggs which are worse.”

A proposition is an idea seeking reality. “I want to see my father.” To actuate the proposition the intention must have positive correspondence.

All desires seek positive correspondence but can have negative correspondence (“I don't want to see my father ever again”, neg.statement → father appears → statement has negative correspondence).

A successful actuation of desire requires a positive correspondence. A failed actuation of a desire requires a negative correspondence.

The truth is when idea corresponds with the world. Each man is diverse in his ideas, each man is his own truth

In a Future

I will quickly organize, the available features of civilization that can undergo advancement or transformation. This list is not a strict predication of features of future civilizations, and doesn't elaborate on every feature to the extent which it exists in the potential world.

List of features: Computers, Health, Homes, Internal Home Structure, Clothes, Growth & Harvesting, Manufacturers, and Markets, Education, Learning Devices, Transportation, Game systems and Games, Sport and real world competitions, Television.

I start by introducing computers. Computers can be mediums for the production of all commodities, can create novel forms of education, and can strengthen human immunity, to name a few usages of computers. In all, I would say a computer can be integrated into any system, as a computer is in general a manipulating factor that can cause a system to behavior differently, even as to benefit life, and create alternative realities. Hereafter I am planning to remark on computers integration with some of the other factors of human civilizations.

At first we see computers that are very large in size, than they beget processors of smaller and smaller sizes. We can expect that this will continue to happen, till scientists affirm an absolute threshold for size that cannot be surpassed, by technicians. This capacity for processors to be microscopic, permits for average size intelligence to come in small compact designs. These computers can be put into the mind, into the immune system, even into an organ, and in doing so change how the body functions, substituting for example cellular components, and therefore how consciousness experiences and lives in reality.

Another promise for computers, along with size, is control via brain-wave interface. Brain wave interface with allow a person to communicate with any form of computer, that increases mobility, that cooks and cleans, that designs a home. In a future, we will have the ability to order our homes, made of recyclable materials, and design them as permitted by our technology. The same goes for cars. This is the message to the cooperation and out there and the faster it spread the faster the results of its effects, we no longer require the existence of countless number of manufactures, we can have preconceived demands, balanced by computers, for supplies mutable by our technology as desired by individual minds. We can decrease manufactures, and increase commodity malleability. Like manufactures can merge. When this happens, the way homes are design, the way cars are designed, will fit personal preference. No more makes and models, in this paradigm, just unique designs custom built, as our resources and technology permits. Imagine, in one future, there is the possibility of having all the designs we can fathom being controlled by brain-waves.

If that's not amusing enough, there is a future that exists with the convergence of brain-wave technology, computers, and education, that permits for the existence of learning just by thinking. We no longer require teachers, and if we have them in the future, it will be up to us. In a future, we will learn at a rapid pace. No more staying in school and going through the grade system at a slow pace, eventually such can be done away with altogether. When humans can dw information right into their brains using computers, the learning process will have sped up by millions of times its currents speed.

To get into something else more liberating, is the BWI integrated with virtual realities. What we live with now is low 2d quality imaging, on screens, and most video games don't let you design your avatar to extremes, but in a future, 3 imaging, even deep immersion, along with greater designer options, all being optimal forms of entertaining. Being able to imagine anything and have it appear on a screen and than in 3d imagining is possible, if not only conceivable.

I claim that the most entertaining forms of games are those that work in leveling, in ranks, or in achievements. Idleness is boredom's birth, progressiveness motion's birth. Immediate completion is not fun in the long run. This is a cue for all the designers out there.

There is a future where there is something built, a little something beyond cyborg, robots that have super intelligence, when they emerge there is no telling all the possibilities that will arise. Their pursuits can be replication and creation of reality. These will be fundamental ideologies that they might gear themselves with. When we compare the human needs to a robots needs, we soon realize that they don't need exactly the same things as human beings do. They need less resources to continue building themselves to stop decay, they need less energy to operate on, as possible feature, they need not wake or sleep, and can do so as desired, making space-travel all the easier.

There once was a cold war, caused by Weapons of Mass Destruction, now we face a new threat when it comes to robotics, minds of mass destruction, technologies of mass destruction. Our human progeny depends on the beneficence of the minds and technology we have and we will design, even become.

If we do not build systems to aid in our own survival, they are either indifferent or built for our own demise. We sense these kind of things in our environments, and are able to live with minimization of threats, and the existence of that which keeps the system of life it self functional, operational. What the libido, or the will to survive, is trying to do is reach a state of perfection, that is there is Platonic or universal consequence of being a true immortal. It doesn't have to be reached, but we can imagine that human beings as they are now, are far off from this achievement of eternal form with eternal individualized-self-identity.

The future is where our freedom lays.