An Entropy-based Measure of Intelligence Degree of System Structures

TL;DR

This paper introduces an entropy-based measure to quantify the intelligence of system structures by assessing function diversity and order generation ability, providing insights into natural evolution and life-like structure design.

Contribution

It proposes a novel entropy-based metric for system intelligence, analyzing basic structures and their relative intelligence levels.

Findings

Some structures are identified as 'smarter' than others based on the measure.

The measure offers a new perspective on the evolution mechanism of natural life.

Potential applications in designing life-like intelligent structures.

Abstract

In this paper, we investigate how to measure the intelligence of systems under specific structures. Two indicators are adopted to characterize the intelligence of a given structure, namely the function diversity of the structure, and the ability to generate order under specific environments. A measure of intelligence degree is proposed, with which the intelligence degree of several basic structures is calculated. It is shown that some structures are indeed "smarter" than the others under the proposed measure. The results add a possible way of revealing the evolution mechanism of natural life and constructing life-like structures with high intelligence degree.