Ch 7 - Knowledge Management and Specialized Information Systems 

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52 Terms

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Neural network program
________: helps engineers slow or speed drilling operations to help increase accuracy /reduce costs.
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Genetic Algorithm
________: approach to solving complex problems in which a number of related operations or models change and evolve until the best one emerges.
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Effective KMS
________: is based on learning new knowledge and changing procedure and approaches as a result.
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Manufacturers
________ use robots to assemble and paint products.
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Voice recognition
________: converting sound waves into words.
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Intelligent Agent
________: programs and a knowledge base used to perform a specific task for a person, process, or another program.
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Vision Systems
________: Hardware and software that permit computers to capture, store, and manipulate visual images and pictures.
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Informatics
________: combines traditional disciplines, such as science and medicine, with computer systems and technology.
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Neural Networks
________: computer system that simulates functioning of a human brain.
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Game theory
________: uses information systems to develop competitive strategies for people, organisations, or even countries.
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Inference Engine
________: seeks information and relationships from the knowledge base.
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Robotics
________: mechanical devices that can perform tasks that require a high degree of precision.
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Knowledge base
________: stores all relevant information, data, rules, cases, and relationship used by expert system.
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Explanation Facility
________: allows user or decision maker to understand how the expert system arrived at certain conclusions or results.
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Virtual reality system
________: enables one or more users to move and react in a computer- simulated environment.
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Contemporary robotics
________: combine both high precision machine capabilities and sophisticated controlling software.
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Knowledge
________: awareness and understanding of a set of information and the ways that information can be made useful to support a specific task or reach a decision.
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Knowledge user
________: person or group who uses and benefits from the expert system.
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Haptic interface
________: relays sense of touch and other sensations in a virtual world.
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Information
________: collection of facts organised so they have additional value beyond the facts themselves.
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Knowledge Management Systems
________ (KMS): is an organised collection of people, procedures, software, databases, and devices.
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Explicit Knowledge
________: is objective, can be measured and documented in reports, papers, and rulers.
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Communities of Practice
________ (COP): group of people dedicated to a common discipline or practice.
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Tacit Knowledge
________: hard to measure and document, typically not objective or formalised.
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Expert systems
________ can be developed from any programming language.
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Communities of Practice (COP)
group of people dedicated to a common discipline or practice
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Knowledge repository
includes documents, reports, files and databases
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Knowledge map
directory that points the knowledge worker to the needed knowledge
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Effective KMS
is based on learning new knowledge and changing procedure and approaches as a result
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Artificial Intelligence
computers with the ability to mimic or duplicate the functions of the human brain
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Artificial intelligence systems
include the people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of human intelligence
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Turing Test
determines whether responses from a computer with high intelligence are distinguishable from a human being
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Brain computer interface (BCI)
idea is to directly connect the human brain to a computer and have thought control computer activities
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Vision Systems
Hardware and software that permit computers to capture, store, and manipulate visual images and pictures
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Natural language processing
processing that allows the computer to understand and react to statements and commands made in a "natural" language
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Voice recognition
converting sound waves into words
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Learning systems
combination of software and hardware that allows the computer to change how it functions or reacts to situations based on feedback it receives
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Learning systems software
requires feedback on results of actions or decisions
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Neural Networks
computer system that simulates functioning of a human brain
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Neural network program
helps engineers slow or speed drilling operations to help increase accuracy/reduce costs
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Genetic Algorithm
approach to solving complex problems in which a number of related operations or models change and evolve until the best one emerges
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Intelligent Agent
programs and a knowledge base used to perform a specific task for a person, process, or another program
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Computerised expert systems
systems that use heuristics (techniques) to arrive at conclusions or make suggestions
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Knowledge base
stores all relevant information, data, rules, cases, and relationship used by expert system
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Inference Engine
seeks information and relationships from the knowledge base
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Explanation Facility
allows user or decision maker to understand how the expert system arrived at certain conclusions or results
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Knowledge Acquisition facility
provides convenient and efficient means of capturing and string all components of knowledge base
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Domain Expert
person or group with the expertise or knowledge the expert system is trying to capture
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Knowledge engineer
person who has training in the design, development, implementation, and maintenance of an expert system
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Expert system shells and products
collections of software packages and tools used to design, develop, implement, and maintain expert systems
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Virtual reality system
enables one or more users to move and react in a computer-simulated environment
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Immersive virtual reality
user becomes fully immersed in an artificial, 3D world that is completely generated by a computer