ITEC 1000 Study Guide - Final Guide: Tacit Knowledge, Expert System, Explicit Knowledge

• School: York University
• Department: Information Technology
• Course: ITEC 1000
• Professor: Radu Campeanu

Document Summary

Many organizations actively attempt to convert explicit knowledge to tacit knowledge, true. False: a group of people with common interests who come together to create, store, and share knowledge of a specific topic is known as a community of practice. True: false, artificial intelligence involves the development of machines and computer systems that can simulate human intelligence processes. True: false, a perceptive system allows a machine to approximate the way a person sees, hears, and feels objects. True: false, although computers excel at numerical calculations, they are not as good at dealing with symbols and three-dimensional objects. True: false, expert systems, robotics, vision systems, natural language processing, learning systems, and neural networks are all part of the broad field of artificial intelligence. True: false, robotics involves developing mechanical or computer devices that can paint cars, make precision welds, and perform tasks that require a high degree of precision or are tedious or hazardous for humans.