NLI Behavioral Prediction Model – by Shane McClafferty
A complete behavioral prediction model in response to an old tweet reply:
The Table of Behavioral Dispositions (dimensions, traits, and subtraits):
Computation (see quoted tweet) describes the process of determining behavior by external factors (environmental or situational) interacting with internal factors to produce a response that receives feedback based on those external and internal factors. By understanding this cycle, future behaviors may be predicted. Prediction is easier when based on general situations and general internal differences in predicting the general behavioral responses.
The highest level generalities are based on general ternary competencies, which can be used to describe types of Abilities (Intelligence) that are best in their types of Situations (Holland’s) and produce types of behavioral outcomes (Personality). Altogether (Total: Haidt’s), Competencies describe moral dispositions.
Ternary Competencies fall on a universal circumplex based on three dimensions, each separated by the short- and long-term to produce six unique traits. Each trait can be separated into subtraits based on the masculine (longitudinal) and feminine (hemispheric) tendencies in trait expression. In addition, three meta-traits alter the direction of all dimensions and traits.
In addition, traits higher in Plasticity are more (according to DeYoung: always) affected by Plasticity, and the remaining traits are more affected by Stability. Also, as we age, we begin to have less dopamine reactivity (Plasticity) and higher baseline serotonin (Stability), so we naturally increase in Stability and decrease in Plasticity as we age.
For Extroversion (Enterprising, Sensitivity to Cheating, and Sensitivity to Reward), since Plasticity and Stability both increase it, it can be reasoned that the trait evolves over the lifetime from plastic (sensation seeking) to stable Extroversion (gregariousness). For Neuroticism (Unrealistic, Sensitivity to Harm, and Sensitivity to Punishment), Plasticity and Stability both decrease it. This may be why serotonin treatments for depression are more effective in older adults because youth Neuroticism is more based on low plasticity (dopamine) as opposed to low stability (serotonin).
However, medication rarely increases dopamine reactivity, instead only temporarily raising baseline levels (a model for addiction) but stability is effected by baseline serotonin so serotonin treatments are more likely to produce longer-term outcomes.
In addition, Eastern Civilization is higher on the meta-trait Stability (tight culture), and Western Civilization is higher on the meta-trait Plasticity (loose culture).
Situation: The situational differences in competency are effectively represented by the Holland Codes (the Big Six interests) based on work-related environments. However, Holland’s Realistic trait measures a lack of sensitivity to punishment (thus, it is the opposite of proportionality), describing people willing to engage in laborious and dangerous jobs.
Ability: The different traits of intelligence are primarily based on previous cognitive measures. EQ was separated by emotional (interpersonal) and social (intrapersonal) intelligence. Interpersonal intelligence is the typical description of EQ, but Intrapersonal Intelligence (organizing between people) was initially separated due to opposing gender biases.
Organization (described by organization metrics) is also described by many self-control metrics. Creativity is the closest measure of pattern recognition (usually the focus of IQ tests, which is why IQ most strongly correlates with Openness).
The final two traits come from risk aversion (Sensitivity to Punishment) and opportunity-seeking (Sensitivity to Reward) bias measurements.
Behavior: Personality is based on The Big Five +1 Personality model (OCEAN). More on the choice of the sixth trait, Distinctiveness, and The Big Five can be found here:
Total: Another model that describes these biases in all computational factors (that I refer to as total computation) is the Moral Foundation theory (with the later added oppression/liberty trait). The traits are currently organized as belief in “good thing” -> “bad thing,” but each “good thing” only describes either the male or female bias. So, I have named the traits “sensitivity to the bad thing” and the subtraits by the longitudinal or hemispheric moral bias of the “good thing.”
It is unclear whether the current model measures the trait or the subtrait, but in the table, I marked the subtrait as the current measure.
Emotion (short-term changes): These competencies also apply to shorter-term changes in behavior that we often call emotion, mood, or feelings. Research has recently made improvements in recognizing emotional dimensions rather than just specific emotions (anger, fear, happiness, sadness). Using three dimensions of emotions, the specific emotions can be functionally separated.
Emotional dimensions also follow changes in hormones, neurotransmitters, and autonomic activity. Current research lacks a focus on differential correlations of all three emotional dimensions.
Overall, this table was validated using indirect evidence and theorizing about theories. Still, I believe it will stand the scrutiny of time due to the high consistency in the evidence and previous theories. With that said, I encourage any attempts to falsify/correct aspects of the table since it is only in the very early stages. The Periodic Table of Chemistry was also similar in its creation and only came to survive because as more elements were discovered, it became clear that it was the most effective way to understand elements.
In the Natural Law Institute and ) perspective, computation (evolutionary computation) and calculation refer to different types of determination. Even though both terms “to calculate” and “to compute” are defined the same in the dictionary (to determine/calculate).
When referring to “evolutionary computation,” it is often shortened to “computation,” but because it is never referred to as “evolutionary calculation,” the term “calculation” remained to refer to other forms of determination. The divergence in these terms allows for a greater understanding of the type of determination.
Evolutionary computation describes how a feedback loop of environmental/situational pressures produces general adaptive outcomes within the bounds of ternary logic (first principles). Therefore, computation is a feedback loop between adaptations and whether they fit the situational pressures that produce ternary outcomes to avoid chaos.
Evolutionary computation describes the external forces influencing adaptation but does not explain how the adaptation occurs (only what it is). How adaptation takes place (or how effectively) is what remains of determination, so it is referred to as calculation.
Determination follows an input-process-output feedback cycle. The feedback is computation, the process is calculation, and the input and output are the interactions between computation and calculation.
So, to view the effects of Computation, you would compare the input, the process, and the output to determine what feedback it is receiving. For calculation, you would compare the input and the output to determine differences in processes.
Behavior can, therefore, be predicted by the feedback (the environment/situation), the processes (abilities/biases), and the adaptations. This forms a ternary logic of computation to escape chaos.
Calculation forms different ternary relationships between different processes. In behavior, these processes are found most prominently in genetics (and epigenetics), biochemical, and neuronal communication. The most commonly referred to calculational differences are general (right brain) versus specific (left brain) cognition and masculine versus feminine bias.
Mathematical Representations of ‘s and ‘s Computation, Ternary Logic, and Decidability.
Determination (Decidability): A formula for determining the outcome (behavior/adaptation) already exists in chemistry with the Gibbs free energy formula. Which calculates the probability of a reaction taking place (G) from the entropy/chaos (S), enthalpy (the chemical resistance: Ω), and the substrate temperature (T).
G is replaced with the probability of adaptation or likelihood of a behavior (the higher probability also means the faster or more often). The substrate temperature represents the situational pressure. Enthalpy can be considered the resistance to change or the opposite of the ability to change. Finally, the entropy value is the amount of chaos yet to be adapted to.
(Note: a negative G is when a reaction (adaptation will occur.)
Computation: The ternary aspects of computation (adaptation, situation, and ability (-resistance) can also be used to calculate the influences of each other. Where: Adaptation is the outcome or change in adaptation, Situation is the situational pressure to adapt, and Resistance is the likelihood of avoiding adaptation.
Adaptation–
Adaptation = Situation * (-Resistance)
Situation–
Situation = Adaptation / (-Resistance)
Ability/Resistance (Calculation)–
-Resistance = Adapatation / Situation
Adaptive Dimensions of Computation (Ternary Logic): Ternary logic is the natural outcome of computation and can determine general differences in abilities, adaptations, and situations. The below graph will show a behavioral representation (right) and a mathematical representation (left).
A mathematical approximation for z would be: z = x * y You can also calculate the degree of chaos escaped (adaptation) from the ternary logic of adaptations. Adaptation = –S -S = x * y * z Traits of Ternary Logic: The adaptive dimensions have a division between short-term behaviors adaptive in a few situations and long-term behaviors adaptive in most situations. Short-term behaviors follow the opposite end of each dimension from long-term behaviors.
Dimensional biases can be calculated from traits by subtracting their traits (short- and long-term).
Soveriengty = -Conformity = x – c
Short-term and long-term adaptation can also be individually calculated.
Short-term = x * a * b
Long-term = z * c * y
Metatraits of Ternary Logic: Metatraits show global biases in all six ternary traits. They are uniquely helpful in comparing group differences and can also show how differences in processes/abilities (calculation) produce differing traits.
Metatraits can be calculated from a directional combination of all six traits.
E = (y * z * b) / (x * a * c)
F = (x * z * c) / (y * a * b)
D = (z * c * b) / (x * y * a)
By Shane McClafferty
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Source date (UTC): 2024-06-10 22:08:22 UTC
Original post: https://x.com/i/articles/1800288927762248109
https://twitter.com/curtdoolittle/status/1382758374543069187
https://twitter.com/Claffertyshane/status/1702421139937431893
https://twitter.com/Claffertyshane/status/1715856027692781724