Description

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1.Introduction.- 2.Literature Review.- 3.Research Methodology.- 4.The Multi-Stage Multi-Level Decision-Making Model.- 5.Knowledge-Directed opportunistic Search.- 6. The Multi-Agent Based Beam Search Method.- 7. Modeling Complex Decision-Making Problems with the MABBS Methods.- 8.The MABBS Engine.- 9.Industrial Application of the MABBS Method.- 10.Summary and Directions for Future Research.

About the Author

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Dr. Shu Gang Kang, with a Ph.D. from the University of Hong Kong, is a research associate at the Ohio State University. His major research interests include AI techniques and software engineering tools for production scheduling and industrial applications. Dr. Kang has been engaging in industrial research projects and working closely with the industry towards practical solutions to complex real-world engineering problems. Dr. Shiu Hong Choi gained both his B.Sc. and Ph.D. degrees at the University of Birmingham in the UK. Prior to joining the University of Hong Kong, Dr. Choi had worked in computer industry as a CAD/CAM consultant. His research interests focus mainly on development of computer application systems for advanced product design and manufacturing. He has published a number of papers on virtual prototyping, RFID-based anti-counterfeiting, and production planning and scheduling.