Decision trees and neural networks for reasoning and knowledge acquisition for autonomous agents

DOI10.1080/00207729608929209zbMath0846.68032OpenAlexW2055993788MaRDI QIDQ4882353

Edward Szczerbicki

Publication date: 12 September 1996

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729608929209

zbMATH Keywords

autonomous manufacturing agentsdomain knowledge base

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Deterministic network models in operations research (90B10) Knowledge representation (68T30) Information storage and retrieval of data (68P20)

Related Items (3)

SOFT MODELING SUPPORT FOR INFORMATION MANAGEMENT ⋮ Using an unsupervized neural network and decision tree as knowledge acquisition tools for FMS scheduling ⋮ A KNOWLEDGE BASE FOR INTELLIGENT INFORMATION MANAGEMENT

Cites Work

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• Strategic operational research
• Autonomous group functioning: the role of correlation and interaction
• Structuring an information flow for autonomous systems
• Model-based generation of knowledge for autonomous systems
• Functioning of autonomous groups: the role of delayed information

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