TAILIEUCHUNG - Lecture Management information systems (3rd Edition): Plug it in five - Rainer, Prince, Watson

Plug IT in 5: Intelligent systems. In this chapter, the learning objectives are: Explain the potential value and the potential limitations of artificial intelligence; provide examples of the benefits, applications, and limitations of expert systems; provide examples of the use of neural networks;. | PLUG IT IN FIVE Intelligent Systems OUTLINE Introduction to Intelligent Systems Expert Systems Neural Networks Fuzzy Logic Genetic Algorithms Intelligent Agents LEARNING OBJECTIVES Explain the potential value and the potential limitations of artificial intelligence Provide examples of the benefits, applications, and limitations of expert systems Provide examples of the use of neural networks Provide examples of the use of fuzzy logic Describe the situations in which genetic algorithms would be most useful Describe the use case for several major types of intelligent agents Introduction to Intelligent Systems Intelligent systems Artificial intelligence (AI) Expert Systems Expertise Expert systems (ESs) Expertise Transfer from Human to Computer Knowledge acquisition Knowledge representation Knowledge inferencing Knowledge transfer The Components of Expert Systems Knowledge base Inference engine User interface Blackboard Explanation subsystem Genetic Algorithms Genetic algorithms have three functional characteristics: • Selection • Crossover: • Mutation: Intelligent Agents Information Agents Monitoring-and-Surveillance Agents User Agents

• Cơ sở dữ liệu
• Intelligent systems
• Information systems
• Management information systems
• Lecture Management information systems
• Social computing
• Business process management
• Intelligent mechatronics book
• Intelligent mechatronics
• Railbound mechatronic systems
• Evidence accrual data fusion technique
• Intelligent mechatronic system
• Reliability of authenticated key establishment protocols
• Data driven ITSs
• STEM+C education
• Intelligent Tutoring Systems
• Data Driven Hint Generation
• Application of Intelligent
• Intelligent Transportation Systems
• Draw lessons
• Newly introduced
• Hệ thống giao thông vận tải
• Giao thông bền vững
• Multiagent systems
• Lecture Multiagent systems
• An introduction to multiagent systems
• Intelligent autonomous agents
• Agent design
• Human orientation
• International journal of computer science & communication networks
• Challenges and issues in wireless sensor networks
• Intelligent transportation system
• Wireless sensor networks
• Intelligent Transportation Systems technologies
• The role of positive feedback
• Davide Fossati
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Aggregation improves learning
• experiments in natural language generation
• mô hình ngôn ngữ
• Targeted Help
• Spoken Dialogue Systems
• intelligent feedback improves naive users performance
• scientific reports
• model language
• process natural language
• Current Status
• Green Strategies
• Public Transportation
• Urban Transportation
• Hệ thống giao thông thông minh
• Receding horizon controller
• Intelligent control
• Fuzzy estimator
• LQG for nonlinear systems
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• Lecture Introduction to computing
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• Introduction to computing
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