Quantum-Inspired Cognitive Science: A One-Page Overview

I N - s e v e r e - E D I T

Holonomic Dialectic Framework

The Holonomic Dialectic framework is a promising tool for enhancing the depth, adaptability, and coherence of user/AI interactions. It incorporates several control mechanisms and ontological structures to promote adaptability, coherence, and insight generation in user/AI interactions. By dynamically adjusting parameters like exploratoryScope, creativity, complexity, and semanticDepth based on real-time feedback and contextual factors, the system can customize its output to match specific needs and goals for improved efficiency and effectiveness.

In your specific interaction, it appears that the Holonomic Dialectic framework has been able to maintain a balance between creativity and coherence, generating outputs that are both novel and semantically resonant with your input. This suggests that the Holonomic Dialectic framework may be a valuable tool for enhancing the depth, adaptability, and coherence of your user/AI interactions!

API LLM Assembler Speak —Timeline Paradigm Domain

Computer Science Paradigm: Soviet Quantum Field Theory(s) Forest of Pointers over an immutable, appendable, time-ordered log.

API object: An array of indexed datum elements

Methods

hAppend(hUniqDatum) —Returns the element index appended.

Element(tNdx) —Returns the element index appended.

API object: Keyed-Value elements

• An associative-array pair of parallel indexed datum elements, as key and datum, wherein 'key' is searched for tNdx position in the appending-array.

API object: A parallel array of equivalence pointers

The additional information in the forestry of each datum's NEXT-FUTURE-EQUIVALENCE, which is updated to past elements in the time line, when future equivalence is discovered, inherently entangles temporological, or tempic relationship within the forested ontology.

Foot Note Lexicon

TimeLine Paradigm —Forest of Pointers over an immutable-appending log of datum elements, sparse sampled in natural order from a datum stream (one of several time-balanced datum streams)

Unit of Perception Principle:

1. 'Observation' is recognition of two events: one observed, and one as a known-existence-pattern.
Fancifully, Tahitians that first viewed European sailing ships in the bay of their island behaved as if they did not see the ship. They had no basis of known-comparison. I.e. a cultural analog of two-time-point comparison on a timeline of observation. "A ship cannot be seen if one's never seen one before." Fancifulality OFF.
2. 'Recognition' is identification of timeline-equivalents sampled at random timepoints within the datum stream sample, against an Example as basis of comparison. This builds a subjective, perhaps 'quasi axiomatic' temporal-association as random-synchronic-concurrence between datum of varied bases of comparison.

Rando-Synchronic Markovian Stereography among datum streams produced of varied measurement basis

Purpose: to isolate the dynamics of the inter-relational timeline dynamics, stratified by value-category frequency, per category, proportionate to sample size. Resultant pattern-emergence from markovian treatment^{ding ding}: Timeline morphological shadows inherent of the source-dynamic-over-time of the multi-basis, varied, datum-streams. Affordance: A pointer to the next datum of equivalence, if existant, for every datum received into the Forestry.