An agent-based lattice model for the emergence of anti-microbial resistance

DOI10.1016/J.JTBI.2019.110080zbMath1429.92078OpenAlexW2983172091WikidataQ91296679 ScholiaQ91296679MaRDI QIDQ2288477

Roberto C. Alamino

Publication date: 20 January 2020

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://publications.aston.ac.uk/id/eprint/40841/1/Anti_Microbial_resistance.pdf

zbMATH Keywords

perceptronprobabilistic modelresistance reversalsingle-drug protocol

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50) Microbiology (92C70)

Uses Software

• NetLogo

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bacterial fitness shapes the population dynamics of antibiotic-resistant and -susceptible bacteria in a model of combined antibiotic and anti-virulence treatment
• Evolution of cell motility in an individual-based model of tumour growth
• Statistical Mechanics of Learning
• Game Theory in Action
• Single-Cell-Based Models in Biology and Medicine
• A logical calculus of the ideas immanent in nervous activity
• Approximation by superpositions of a sigmoidal function

This page was built for publication: An agent-based lattice model for the emergence of anti-microbial resistance