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Knowledge-based Risk Management in Engineering: Case Study in Human/Computer Cooperative Systems (Wiley Series in Engineering and Technology Manag) - Tapa blanda

Niwa, Kiyoshi

 
9780471628934: Knowledge-based Risk Management in Engineering: Case Study in Human/Computer Cooperative Systems (Wiley Series in Engineering and Technology Manag)

Sinopsis

This is a new, practical application of artificial intelligence to business: risk management for large construction projects. The author presents a common expert system, and shows how to apply it to ill-structured management domains. He then notes its weak points based on users' complaints, and proposes a human-computer cooperative system in order to incorporate human intuitive capacity into the computer system. The book contains a case study concerning risk management for large construction projects, although the methods described here are adaptable to other management fields. This book is based on the author's extensive experience in developing and implementing knowledge- based systems for practical risk management in industry. This text will be of benefit to artificial intelligence researchers, knowledge engineers, project managers and graduate students of business and engineering.

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Reseña del editor

This is a new, practical application of artificial intelligence to business: risk management for large construction projects. The author presents a common expert system, and shows how to apply it to ill-structured management domains. He then notes its weak points based on users' complaints, and proposes a human-computer cooperative system in order to incorporate human intuitive capacity into the computer system. The book contains a case study concerning risk management for large construction projects, although the methods described here are adaptable to other management fields. This book is based on the author's extensive experience in developing and implementing knowledge- based systems for practical risk management in industry. This text will be of benefit to artificial intelligence researchers, knowledge engineers, project managers and graduate students of business and engineering.

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