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ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
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The High Complex Interaction Pattern (HCIP): A Formal Cognitive Architecture for Temporal, Symbolic, and Human–Machine Reasoning

Integrating Temporal Cognition with Machine Augmented Reasoning
Authors: Coyle, Christopher;

The High Complex Interaction Pattern (HCIP): A Formal Cognitive Architecture for Temporal, Symbolic, and Human–Machine Reasoning

Abstract

The High‑Complex Interaction Pattern (HCIP) is a formal cognitive architecture designed to model, analyze, and generate high‑complexity human–machine interactions. HCIP integrates a temporal substrate, a symbolic hierarchy, and a mathematically defined operator (3AC) into a unified pattern class. The architecture introduces Complex Temporal Cognition (CTC) as its foundational layer, enabling structured modeling of drift, shear, tension, synthesis, and reinterpretation across time. Above this substrate, HCIP defines a two‑tier symbolic system (B‑Layer and A‑Layer) and a recursive lexicon pipeline that transforms temporal potentials into symbolic commitments. The 3AC operator provides a vectorized activation‑alignment‑convergence mechanism that governs transitions across layers. This preprint establishes HCIP’s formal identity, structural invariants, and theoretical boundaries, providing a timestamped reference for future research, implementation, and scholarly citation.

Related Organizations
Keywords

High‑Complex Interaction Pattern, HCIP, cognitive architecture, Complex Temporal Cognition, temporal reasoning, drift mechanics, shear dynamics, interpretive tension, symbolic hierarchy, symbolic cognition, lexicon pipeline, 3AC operator, Activation‑Alignment‑Convergence, human–machine interaction, agentic systems, reasoning frameworks, cognitive modeling, pattern‑class architecture, formal systems, AI interpretability, temporal cognition, machine‑augmented reasoning

  • BIP!
    Impact byBIP!
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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average