TAILIEUCHUNG - Lectur Introduction to information systems: Supporting and transforming business – Chapter TG_4_Handout

Technology guide 4 intelligent systems. This chapter presents the following content: 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. | 16-12-09 TECHNOLOGY GUIDE 4: Intelligent Systems INFORMATION SYSTEMS Supporting and Transforming Business Fourth Canadian Edition RAINER • PRINCE • SPLETTSTOESSER • SÁNCHEZ-RODRÍGUEZ TECHNOLOGY GUIDE 4: INTELLIGENT SYSTEMS TG Introduction to Intelligent Systems TG Expert Systems TG Neural Networks TG Fuzzy Logic TG Genetic Algorithms TG Intelligent Agents 2 LEARNING OBJECTIVES 1.  Explain the potential value and the potential limitations of artificial intelligence. 2.  Provide examples of the benefits, applications and limitations of expert systems. 3.  Provide examples of the use of neural networks. 4.  Provide examples of the use of fuzzy logic. 5.  Describe the situations in which genetic algorithms would be most useful. 6.  Describe the use case for several major types of intelligent agents. 3 1 16-12-09 TG INTRODUCTION TO INTELLIGENT SYSTEMS •  Intelligent systems: information systems that can make decisions by themselves. Examples: Web apps and medical uses •  Major categories of intelligent systems: expert systems neural networks fuzzy logic genetic algorithms intelligent agents •  Artificial intelligence (AI) is a subfield of computer science that studies the thought processes of humans and recreates the effects of those processes via machines, such as computers and robots 4 NATURAL VS. ARTIFICIAL INTELLIGENCE 5 TG EXPERT SYSTEMS •  Expert systems (ESs) are computer systems that attempt to mimic human experts by applying expertise in a specific domain. •  Since 2007, IBM scientists have been trying to automate one of the most human of abilities: answering questions asked in everyday language, or natural language. They even gave their technology a human name: Watson. Watson uses more than 100 algorithms to analyze a question in different ways, providing hundreds of possible answers. •  Click here to access the Website of IBM Watson Supercomputer 6 2 16-12-09 EXPERTISE TRANSFER FROM HUMAN TO COMPUTER .

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