Questions of science: chatting with ChatGPT about complex systems

Authors: Nuno Crokidakis, Marcio Argollo de Menezes, Daniel O. Cajueiro

arXiv: 2303.16870v1 - DOI (physics.soc-ph)
This is a work in progress
License: CC BY 4.0

Abstract: We present an overview of the complex systems field using ChatGPT as a representation of the community's understanding. ChatGPT has learned language patterns and styles from a large dataset of internet texts, allowing it to provide answers that reflect common opinions, ideas, and language patterns found in the community. Our exploration covers both teaching and learning, and research topics. We recognize the value of ChatGPT as a source for the community's ideas.

Submitted to arXiv on 29 Mar. 2023

Explore the paper tree

Click on the tree nodes to be redirected to a given paper and access their summaries and virtual assistant

Also access our AI generated Summaries, or ask questions about this paper to our AI assistant.

Beta

Look for similar papers (in beta version)

By clicking on the button above, our algorithm compares the title and abstract of this paper with all the papers of the same arXiv category that we have summarized, and finds the closest ones. You can rerun it from time to time: the results improve as our database grows.