# An Entropy-based Measure of Intelligence Degree of System Structures

arXiv: https://arxiv.org/abs/2208.10266 · HTML: https://mlsanity.com/paper/2208.10266/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 5 references that are in the map.
- First posted on arXiv 22 Aug 2022.

## Builds on (most cited first, 1 of 1)

- [Noise Leads to Quasi-Consensus of Hegselmann-Krause Opinion Dynamics](https://mlsanity.com/paper/1512.05058/) (2015)

## Abstract (arXiv)

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.