Knowledge-Based Systems, Four-Volume Set: Techniques and Applications
Cornelius T. Leondes
Elsevier, Jul 11, 2000 - Computers - 1449 pages
The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making.
With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.
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_ FIGURE activity agents algorithm analysis application approach Artificial Intelligence artificial knowledge attributes behavior Case-Based Reasoning classification cognitive communication complex components Computer concept condition constraints control systems corresponding data mining data set decision deductive databases defined described diagnostic disease distributed domain knowledge dynamic ECA rules evaluation example expert system explicit fuzzy control fuzzy control system fuzzy logic fuzzy set genetic algorithms geometric goal IEEE Trans implementation implicit input integrated intensive knowledge InterBase knowledge acquisition knowledge base knowledge discovery knowledge engineering knowledge representation knowledge-based systems learning line segments matching membership functions method module neural networks node Ø Ø Ø objects operation optimization output parameters patterns performance Petri net phase postprocessing problem production rules redundant relation representation represented requirements ridges rule-based sample Section selected semantic simulation solution specific structure Table task techniques tion tuples validation values variable