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Autonomous, Model-Based Diagnosis Agents

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  • 164 pages
  • 6 hours of reading

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Focusing on the development of intelligent agents, this work explores the principles of model-based diagnosis in autonomous systems. It delves into the methodologies for creating agents capable of diagnosing issues within complex systems, emphasizing the integration of models for effective problem-solving. The book presents theoretical foundations alongside practical applications, making it a valuable resource for researchers and practitioners interested in artificial intelligence and system diagnostics.

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Autonomous, Model-Based Diagnosis Agents, Michael Schroeder

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Released
2012
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