There are at least two kinds of games. One could be called finite; the other infinite. A finite game is played for the purpose of winning, an infinite game for the purpose of continuing the play. — James Carse  🔗

This article supplements the home page article: Model Overview

The goal is for machines to evaluate the meanings of words in a way that mimics human responsiveness, allowing them to react more appropriately to various situations. By using reference frames that shift between general and specific viewpoints, machines can learn to navigate through or orient to word-concepts more like the way people can use experiences to imagine.

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Here’s an overarching look at orientation as represented in the Q model.

• In theory, imagining situations require engaging various orienting functions.

(Note: Orienting functions refer to embodied analogs, used as a way to learn by comparing abstract symbols to sensory modalities, which can create analogies.)

Think of imagining as finding orientation with other mental orientations. Situations become individuated based on the orientation functions used.

1. In theory, orienting functions are analogs used for situational understanding.
2. Orienting functions are in one’s mind and are used to orient with other minds.

(Note: Orienting functions provide the origin, the change & modes-of-measure. In theory, orienting embodied analogs provide recall of unique sensory experiences.)

In the Q model, quadranyms represent orienting functions or analogs. Quadranym units form RF units, scripts or layers for virtual orientation.

• Q units represent embodied analogs such as, agent, energy, time & space.

Each unit represents a unique sensory experience captured in a semantic framework that pivots on self identification opportunity and affordances.

• Embodied analogs require potential states to emerge from actual states.

In the Q, the actual state is the primary, definitive aspect of the embodied analog, while the potential state exists as a kind of capacity and possibility.

• Q units represent the agent’s recall in terms of actual and potential states.

(Note: Quadranyms aim to capture the structure of some event in the world by representing the actual and potential states of the agent’s sensory experience.)

All orienting functions represented by quadranyms follow basic templates:

Prime Superordinate (Template): Potential(actual) ➝ Actual(potential) 

(Note: Potential–Actual modes modify actual–potential states. The actual state receives Potential attributes and the potential state receives Actual attributes.)

Prime Subordinate Units (Representing Embodied Analogs):

• Agent: Positive(self) ⊇ Negative(goal)
• Energy: Active(motion) ⊇ Passive(matter)
• Time: Future(present) ⊇ Past(event)
• Space: Infinite(void) ⊇ Finite(between)

Above examples from Model Overview: The Q Model, a) Quadranym Theory

• Matching color facets between units represent analog relationships

(Note: The smallest units of orientation are quadranyms that combine to form scripts and layers. See Home Page: Model Overview: 2. The Q Model: e, f and g.)

EXAMPLES:

Situating the relevant object…

“Imagine a ball”: One might contextualize sports, snow fun or beach fun. For each situational context, one can incorporate any number of orientations.

• Situational contexts involving ball anchor on relevant orienting functions. 

Quadranym example for situating ball: Fun(play) ⊇ Game(ball)

(Note: The prime units represent analogs that ground the relevant unit that is targeting ball.  Grounding goes all the way to the Prime Superordinate Unit.)

Next, Agent orientations situate and individuate the relevant objects…

“Imagine a nut and a ball in plain sight in the yard” : the squirrel will see the nut; the child will see the ball; one offers eating; the other offers playing.

• The prime unit Agent anchors the situational context on squirrel & child.

(Note: When constructing orientation the source and target have different roles to play — a source is the actual condition and a target is the potential condition.)

Quadranym unit example for situating nut in yard: Eat(squirrel) ⊇ Food(nut)

• The prime unit Energy can situate nut in this way: Grow(tree) ⊇ Ground(nut)

(Note: Quadranyms represent analogs that align facets e.g., nut and ball. We see the analog as the embodied device whereas the analogy is the semantic device.)

Quadranym Example for situating ball in yard: Play(child) ⊇ Bouncy(ball)

• A ball is a potential object of a child. The ball receives Actual Attributes. How the ball with its Attributes affects the child is judged on the child’s Potentials. 

(Note: The actual-source becomes a constant to its potential-target variants. A child has many variants to target such as, toys, games, food,  friends, parents.)

Superordinate Categorical Facets (i.e., Prime Dimensions):

1. E: Potential Predicate (active mode) implies expansive sense
2. R: Actual Predicate (passive mode) implies reductive sense
3. O: potential object (passive state) implies objective sense
4. S: actual subject (active state) implies subjective sense

(Note: Active is about using energy. Passive is energy being used. Everything in the universe uses energy but what makes energy discrete is how it’s being used.)

Orientations, like embodied analogs, evolve based on interactions:

• Active is using energy: This captures the idea that active energy refers to the subject actively engaging with and utilizing energy for a purpose or function. 
• Passive is energy being used: This indicates that passive energy refers to the energy sources that are being harnessed or converted, regardless of their state (stored or in the process of being utilized). It is capacity and potentiality.

Word-sensibility orientation is anchored by the state facets of the units…

The active state is unmeasured. The passive state provides measure.

• For any given orientation, source conditions impart the presupposition.
• Target conditions are situationally relevant and follow presuppositions.

(Note: An orientation has presuppositions and relevant target conditions.) 

Mode terms (facets) provide the dynamic factors for the state conditions…

The Active Mode is dependent. The Passive Mode is independent.

• The mode dynamics change the orientation’s state conditions
• The dependent factors respond to the independent factors.

(Note: Notice how modes work in our examples: Play depends on Bouncy, Eat on food, Grow on Ground. Mode factors provide the measure for target conditions.) 

So, in the model…

Inferences are conclusions and orientations are from where they evolve.

• One is oriented, in some manner, to how tendencies evolve in the world.

How does the Q model generally apply to artificial Intelligence?

For any given situation, the AI task is to…

Find the source and target state variables and associated mode variables.

State Variables (source–target conditions):

A ball in the yard suggests source-target conditions. Any orientation  function can follow from a scene but are easily shared, and amended.

•  This exercise is not about any particular orientation but how they generally develop. Important is to anchor potential on that from which it might evolve.

Mode Variables (X–Y attributes):

Situational context is parsed to the two modes of reference frames;  word embeddings are used to cluster and bifurcate words between x–y variables.

• Potential ball can receive Actual attributes e.g, X: {big, round, bouncy…},
• Actual child can receive Potential attributes e.g., Y: {play, active, happy…}

(Note: Attributes refer to additional information beyond the basic properties of a condition state.  Potential attributes are always a response to Actual attributes.)

Reference Frame Model Examples:

Orientational systems can further configure and hone Q units, schemes and topics e.g, a source can become a topic while a y variable becomes a source:

• Reconfigured example: Topic = child: Y(play) ➝ X(ball)

RF Model Template: topic = Y(source) ➝ X(target)

 Quadranyms provide faceted categorization for RF models.

• Topic = child: Y{Happy…}(play) ➝ X{Big…}(ball)

(Note: In any order find Q dimensions or facets: topic, source, target, X, Y. It could be that a child may prefer one ball color over another — modes provide measure.)

Orientation Examples for: Imagine a nut and a ball in plain sight in the yard.

General Layers:

1. Topic = imagine: Y(orient) ➝ X(scene)

Relevant Layers:

1. Topic = home: Y(live) ➝ X(yard)
2. Topic = child: Y(play) ➝ X(ball)
3. Topic = squirrel: Y(eat) ➝ X(nut)

Above represents 1 general layer and 3 relevant layers. Each relevant layer has a topic related script  (e.g., 1. home’s yard, 2. child’s ball, 3. squirrel’s nut.)

Orientation evolves the imagination.

• Evolvement is modeled by how (less or more) Y responds to (less or more) X.

(Note: Potential (Y factor) is dependent on what Actual (X factor) offers; actual is that from–which tendency evolves; potential is that to–which tendency evolves.)

Finally, in terms of the model…

Let’s consider how each person imagines or thinks uniquely based on their orientational thumb print. However, humans are social creatures requiring vital levels of commonality between their personal and social orientations.

• Primary orientations are about analogs common between embodied agents.

(Note: In the model, the quadranym is a representation of dynamic sense found between semantic word relations derived from perception and action processes.)

General analogs such as space, time and energy are routinely used and shared.

• Effects of interpersonal orientation e.g., communication, ritual, society etc…

(Note: source–target relates to affordance: what the world offers the agent; source and target evolvement predicates on what the X factor offers the Y).

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See Model Overview:

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