Using Neural Networks for a Universal Framework for Agent-based Models

DOI10.1080/13873954.2021.1889609zbMath1487.68234OpenAlexW3136811339MaRDI QIDQ5070676

Georg Jäger

Publication date: 14 April 2022

Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/13873954.2021.1889609

zbMATH Keywords

artificial neural networksagent-based modellingmodelling framework

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Agent technology and artificial intelligence (68T42) Multi-agent systems (93A16) Mathematical modeling or simulation for problems pertaining to systems and control theory (93-10)

Related Items (1)

Can we replicate real human behaviour using artificial neural networks?

Uses Software

• Scikit
• ImageNet
• AlexNet

Cites Work

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• Multi-agent team cooperation: a game theory approach
• EURACE: A massively parallel agent-based model of the European economy
• Dynamic models of segregation†
• Rational Learning Leads to Nash Equilibrium
• Agent-Based Manufacturing and Control Systems
• Understanding Social Preferences with Simple Tests
• The Complexity of Computing a Nash Equilibrium

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