Overviews artificial intelligence (AI) concepts and models for those in business, focusing on the symbolic, connectionist, evolutionary, and inductive approaches and on applications. Coverage includes the vocabulary of intelligence density, data-driven decision support, neural networks, fuzzy logic, and machine learning. Includes chapter key words and discussion questions, and seven case studies of how different types of organizations used AI to solve specific problems. Annotation c. by Book News, Inc., Portland, Or.
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Key Benefit: This book is a comprehensive explanation of how powerful technologies really work in business using a pragmatic business approach in describing when and how to use them. Key Topics: Detailed case studies are provided in management information systems, information systems, computer science, and management. Also, focuses on modeling techniques, such as rules, case-based reasoning, fuzzy logic, neural nets, genetic algorithms, and machine learning. KEY Market: An excellent tool for management training programs.
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