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ZENODO
Preprint . 2025
License: CC BY NC SA
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY NC SA
Data sources: Datacite
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Synthesis Intelligence (SIQ): A Multi-Layered Framework for General AI Design (V2.0) Integrating Logical, Emotional, Creative, and Resilient Capacities

Authors: Konishi, Hiroko;

Synthesis Intelligence (SIQ): A Multi-Layered Framework for General AI Design (V2.0) Integrating Logical, Emotional, Creative, and Resilient Capacities

Abstract

This Version 2.0 paper presents an expanded and empirically grounded formulation of the Synthesis Intelligence Quotient (SIQ) and the Multi-Layered Thinking framework, integrating IQ, EQ, CQ, and AQ into a multiplicative intelligence model.The update introduces Monte Carlo simulations (n = 1000) demonstrating a statistically significant predictive advantage of SIQ over IQ-only models (r ≈ 0.55; +15.01% uplift), and refines theoretical connections to embodied cognition, emotional intelligence, creativity research, and adversity resilience.Furthermore, this version extends the SIQ model into the Quantum-Bio-Hybrid (Q-BH) AGI paradigm, proposing an expanded hybrid metric (SIQQBH) incorporating quantum coherence, bio-entropy, and hybrid network density. The work outlines a practical multi-layer AGI architecture integrating Embodiment, Emotional/Social cognition, Creative recombination, Adversity-driven metacognition, and Value Quotient (V-Q) for ethical alignment.Overall, this paper provides a theoretical and empirical foundation for next-generation AGI design, human-AI coexistence, and a redefinition of intelligence suitable for the post-IQ era.This version supersedes V1 while remaining linked under the same concept DOI: 10.5281/zenodo.17521289.

Keywords

Synthesis Intelligence, SIQ, Multi-Layered Thinking, Intelligence Modeling, General AI, Artificial General Intelligence, AGI Architecture, Cognitive Architecture, Embodied AI, Emotional Intelligence, Creative Intelligence, Adversity Quotient, Value Alignment, V-Q, Quantum-Bio-Hybrid AGI, Quantum Cognition, Bio-inspired AI, Hybrid Intelligence, Retrocausal Computation, Monte Carlo Simulation, Cognitive Synergy, Embodied Cognition, Tacit Knowledge, Human-AI Coexistence, Hiroko Konishi, Synthesis Intelligence Laboratory

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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
Green