Work

Numerical simulations of AI–human interaction using quintic mean-field Ising model

Year: 2024

Type: article

Abstract: The growing role of artificial intelligence (AI) in our society presents both benefits and challenges. To delve deeper into this, we suggest a simulation model that mimics a human–AI ecosystem. This model considers various factors, such as biased actions and multiple-agent interactions ranging from two to five agents. For instance, it includes situations where four humans engage with AI or where four AI systems interact with a human. Our main goal is to investigate how the number of AI systems in the ecosystem influences its dynamics. Our findings revealed that even slight variations in the presence of AI can cause significant changes in the system’s behavior. These shifts can push the system to distinct opposing outcomes or leave it in a state of uncertainty.

Source: AIP Advances

DOI: 10.1063/5.0225968

Authors: Richard Kwame Ansah, Prosper Ablordeppey, Richard Kena Boadi, Kassim Tawiah

Institutions: Kwame Nkrumah University of Science and Technology, University of Energy and Natural Resources, University of Aveiro

Language: English

Topic: Opinion Dynamics and Social Influence

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,350

OpenAlex ID: W4401529557

FWCI: 0.149

Cites: 39

Cited by: 1

Related to: 10