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The Wiring of Intelligence.

Alexander O Savi¹, Maarten Marsman¹, Han L J van der Maas¹

¹Department of Psychology, University of Amsterdam.

Perspectives on Psychological Science : a Journal of the Association for Psychological Science

|October 25, 2019

Summary

This summary is machine-generated.

We propose a new idiographic model of intelligence as evolving networks, explaining the positive manifold and hierarchical structure. This approach integrates human ability and learning research.

Keywords:

child development cognition idiographic science individual differences intelligence network model quantitative methodology

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Area of Science:

Cognitive Psychology
Psychometrics
Developmental Psychology

Background:

The positive manifold of intelligence is a long-standing puzzle in human ability research.
Previous explanations include the general intelligence factor (g factor), sampling theory, multiplier effect, and mutualism models.
A novel idiographic perspective is needed to explain intelligence's complexity.

Purpose of the Study:

To propose a novel idiographic explanation for the positive manifold of intelligence.
To conceptualize intelligence as evolving networks of interconnected facts and procedures.
To introduce a method for studying the growth dynamics of intelligence.

Main Methods:

Formalizing intelligence as evolving networks.
Extending the Fortuin-Kasteleyn model to create a static model.
Analyzing the model's ability to explain the positive manifold and hierarchical structure.
Demonstrating the model's capacity to explain the Matthew effect.

Main Results:

The proposed static model parsimoniously explains the positive manifold of intelligence.
The model accounts for the hierarchical factor structure of intelligence.
The model successfully explains the Matthew effect across developmental stages.
A method for studying intelligence growth dynamics is introduced.

Conclusions:

The novel idiographic approach offers a new perspective on intelligence.
The evolving networks model provides a unified framework for human ability and learning.
This research bridges the gap between the study of human ability and human learning.