---
title: Chaos Theory in Economics
url: https://www.ml-quant.com/papers/repec/gam-jmathe-v-12-y-2023-i-1-p-92-d-1308393/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:gam:jmathe:v:12:y:2023:i:1:p:92-:d:1308393
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F12%2F1%2F92%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A12%3Ay%3A2023%3Ai%3A1%3Ap%3A92-%3Ad%3A1308393
featured: 2024-01-23
citations: unknown
topic: ML & AI Methods
---


# Chaos Theory in Economics

The article discusses the growth of chaos mathematics, its applications in fields like topology and Catastrophe Theory, and the potential of Quantum Algorithms and AI to improve predictions in chaotic systems, especially in economics.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F12%2F1%2F92%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A12%3Ay%3A2023%3Ai%3A1%3Ap%3A92-%3Ad%3A1308393
- Identifier: RePEc:gam:jmathe:v:12:y:2023:i:1:p:92-:d:1308393
- Released: 2023-07-17
- First featured: Quant Letter No. 34 (2024-01-23): https://www.ml-quant.com/issues/2024-01-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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