Machine learning in agent-based stochastic simulation: inferential theory and evaluation in transportation logistics

DOI10.1016/J.CAMWA.2012.01.079zbMath1268.68142OpenAlexW1994940961MaRDI QIDQ356384

Otthein Herzog, Janusz Wojtusiak, Tobias Warden

Publication date: 25 July 2013

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2012.01.079

zbMATH Keywords

multiagent systemsmachine learningautonomous logisticsinferential theory of learningmultiagent-based simulation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Innovations in multi-agent systems and application -- 1.
• If multi-agent learning is the answer, what is the question?
• Learnable evolution model: Evolutionary processes guided by machine learning
• \({\mathcal Q}\)-learning
• An advanced adoption model and an algorithm of evaluation agents in automated supplier ranking
• Modeling mobile agent behavior

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